From b29e23904f4fb05564ce714dab68d6b47918b2cf Mon Sep 17 00:00:00 2001 From: gitau123 Date: Tue, 19 May 2026 15:56:15 -0400 Subject: [PATCH 1/2] complete assignment one --- 02_activities/assignments/assignment_1.ipynb | 3067 +++++++++++++++++- 1 file changed, 3031 insertions(+), 36 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index b0a47da71..a83cc6226 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "4a3485d6-ba58-4660-a983-5680821c5719", "metadata": {}, "outputs": [], @@ -56,10 +56,288 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " alcohol malic_acid ash alcalinity_of_ash magnesium total_phenols \\\n", + "0 14.23 1.71 2.43 15.6 127.0 2.80 \n", + "1 13.20 1.78 2.14 11.2 100.0 2.65 \n", + "2 13.16 2.36 2.67 18.6 101.0 2.80 \n", + "3 14.37 1.95 2.50 16.8 113.0 3.85 \n", + "4 13.24 2.59 2.87 21.0 118.0 2.80 \n", + ".. ... ... ... ... ... ... \n", + "173 13.71 5.65 2.45 20.5 95.0 1.68 \n", + "174 13.40 3.91 2.48 23.0 102.0 1.80 \n", + "175 13.27 4.28 2.26 20.0 120.0 1.59 \n", + "176 13.17 2.59 2.37 20.0 120.0 1.65 \n", + "177 14.13 4.10 2.74 24.5 96.0 2.05 \n", + "\n", + " flavanoids nonflavanoid_phenols proanthocyanins color_intensity hue \\\n", + "0 3.06 0.28 2.29 5.64 1.04 \n", + "1 2.76 0.26 1.28 4.38 1.05 \n", + "2 3.24 0.30 2.81 5.68 1.03 \n", + "3 3.49 0.24 2.18 7.80 0.86 \n", + "4 2.69 0.39 1.82 4.32 1.04 \n", + ".. ... ... ... ... ... \n", + "173 0.61 0.52 1.06 7.70 0.64 \n", + "174 0.75 0.43 1.41 7.30 0.70 \n", + "175 0.69 0.43 1.35 10.20 0.59 \n", + "176 0.68 0.53 1.46 9.30 0.60 \n", + "177 0.76 0.56 1.35 9.20 0.61 \n", + "\n", + " od280/od315_of_diluted_wines proline class \n", + "0 3.92 1065.0 0 \n", + "1 3.40 1050.0 0 \n", + "2 3.17 1185.0 0 \n", + "3 3.45 1480.0 0 \n", + "4 2.93 735.0 0 \n", + ".. ... ... ... \n", + "173 1.74 740.0 2 \n", + "174 1.56 750.0 2 \n", + "175 1.56 835.0 2 \n", + "176 1.62 840.0 2 \n", + "177 1.60 560.0 2 \n", + "\n", + "[178 rows x 14 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from sklearn.datasets import load_wine\n", "\n", @@ -91,12 +369,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "56916892", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "178\n" + ] + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "print(wine_df.shape[0])" ] }, { @@ -109,12 +396,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "df0ef103", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14\n" + ] + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "print(wine_df.shape[1])" ] }, { @@ -127,12 +423,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "47989426", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "int64\n", + "[0 1 2]\n" + ] + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "print(wine_df['class'].dtype)\n", + "print(wine_df['class'].unique())" ] }, { @@ -146,12 +453,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "bd7b0910", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "13\n" + ] + } + ], "source": [ - "# Your answer here" + "# Your answer here\n", + "print(wine_df.shape[1] - 1)" ] }, { @@ -175,10 +491,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "cc899b59", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " alcohol malic_acid ash alcalinity_of_ash magnesium \\\n", + "0 1.518613 -0.562250 0.232053 -1.169593 1.913905 \n", + "1 0.246290 -0.499413 -0.827996 -2.490847 0.018145 \n", + "2 0.196879 0.021231 1.109334 -0.268738 0.088358 \n", + "3 1.691550 -0.346811 0.487926 -0.809251 0.930918 \n", + "4 0.295700 0.227694 1.840403 0.451946 1.281985 \n", + "\n", + " total_phenols flavanoids nonflavanoid_phenols proanthocyanins \\\n", + "0 0.808997 1.034819 -0.659563 1.224884 \n", + "1 0.568648 0.733629 -0.820719 -0.544721 \n", + "2 0.808997 1.215533 -0.498407 2.135968 \n", + "3 2.491446 1.466525 -0.981875 1.032155 \n", + "4 0.808997 0.663351 0.226796 0.401404 \n", + "\n", + " color_intensity hue od280/od315_of_diluted_wines proline \n", + "0 0.251717 0.362177 1.847920 1.013009 \n", + "1 -0.293321 0.406051 1.113449 0.965242 \n", + "2 0.269020 0.318304 0.788587 1.395148 \n", + "3 1.186068 -0.427544 1.184071 2.334574 \n", + "4 -0.319276 0.362177 0.449601 -0.037874 \n" + ] + } + ], "source": [ "# Select predictors (excluding the last column)\n", "predictors = wine_df.iloc[:, :-1]\n", @@ -204,7 +547,8 @@ "id": "403ef0bb", "metadata": {}, "source": [ - "> Your answer here..." + "> Your answer here...\n", + "we standardize predictor variables since knn is distance based and larger scales can dominate the prediction process. standardization is therefore done to allow the model to consider each variable based on it's relationship to the outcome and not the scale." ] }, { @@ -220,7 +564,8 @@ "id": "fdee5a15", "metadata": {}, "source": [ - "> Your answer here..." + "> Your answer here...\n", + "class is a response variable and diistances are not beng computed on it. Standardizing it would distort the class labels (0, 1, 2) and break the classifier." ] }, { @@ -236,7 +581,8 @@ "id": "f0676c21", "metadata": {}, "source": [ - "> Your answer here..." + "#Your answer here...\n", + "np.random.seed(123)" ] }, { @@ -251,17 +597,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "72c101f2", "metadata": {}, "outputs": [], "source": [ "# set a seed for reproducibility\n", "np.random.seed(123)\n", - "\n", "# split the data into a training and testing set. hint: use train_test_split !\n", "\n", - "# Your code here ..." + "# Your code here ...\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " predictors_standardized, wine_df['class'], test_size=0.75, random_state=123\n", + ")" ] }, { @@ -284,12 +633,2650 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "08818c64", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_split.py:813: UserWarning: The least populated class in y has only 9 members, which is less than n_splits=10.\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best n_neighbors: 4\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", + " scores = scorer(estimator, X_test, y_test, **score_params)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", + " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", + " y_pred = method_caller(\n", + " ^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", + " result, _ = _get_response_values(\n", + " ^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", + " y_pred = prediction_method(X)\n", + " ^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", + " neigh_ind = self.kneighbors(X, return_distance=False)\n", + " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", + " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", + " raise ValueError(\n", + "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", + "\n", + " warnings.warn(\n", + "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_search.py:1137: UserWarning: One or more of the test scores are non-finite: [0.885 0.885 0.925 0.95 0.925 0.95 0.95 0.95 0.95 0.95 0.95 0.95\n", + " 0.95 0.95 0.95 0.925 0.815 0.76 0.715 0.715 0.69 0.615 0.59 0.565\n", + " 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565\n", + " 0.565 0.565 0.565 nan nan nan nan nan nan nan nan nan\n", + " nan nan]\n", + " warnings.warn(\n" + ] + } + ], "source": [ - "# Your code here..." + "\n", + "# Your code here...\n", + "knn = KNeighborsClassifier()\n", + "\n", + "param_grid = {'n_neighbors': list(range(1, 51))}\n", + "\n", + "grid_search = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "best_k = grid_search.best_params_['n_neighbors']\n", + "print(f\"Best n_neighbors: {best_k}\")" ] }, { @@ -305,12 +3292,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "ffefa9f2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test Accuracy: 0.9478\n" + ] + } + ], "source": [ - "# Your code here..." + "# Your code here...\n", + "best_knn = KNeighborsClassifier(n_neighbors=best_k)\n", + "best_knn.fit(X_train, y_train)\n", + "\n", + "y_pred = best_knn.predict(X_test)\n", + "print(f\"Test Accuracy: {accuracy_score(y_test, y_pred):.4f}\")" ] }, { @@ -365,7 +3365,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.4", + "display_name": "lcr-env (3.11.15)", "language": "python", "name": "python3" }, @@ -379,12 +3379,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.19" - }, - "vscode": { - "interpreter": { - "hash": "497a84dc8fec8cf8d24e7e87b6d954c9a18a327edc66feb9b9ea7e9e72cc5c7e" - } + "version": "3.11.15" } }, "nbformat": 4, From 98885e4137727c57d263549a49c3268bc2db3dcf Mon Sep 17 00:00:00 2001 From: gitau123 Date: Fri, 22 May 2026 12:53:52 -0400 Subject: [PATCH 2/2] corrected assignment-1 --- 02_activities/assignments/assignment_1.ipynb | 2687 +----------------- 1 file changed, 46 insertions(+), 2641 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index a83cc6226..55746159b 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 34, "id": "4a3485d6-ba58-4660-a983-5680821c5719", "metadata": {}, "outputs": [], @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 35, "id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19", "metadata": {}, "outputs": [ @@ -333,7 +333,7 @@ "[178 rows x 14 columns]" ] }, - "execution_count": 7, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -369,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 36, "id": "56916892", "metadata": {}, "outputs": [ @@ -396,7 +396,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 37, "id": "df0ef103", "metadata": {}, "outputs": [ @@ -423,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 38, "id": "47989426", "metadata": {}, "outputs": [ @@ -442,6 +442,14 @@ "print(wine_df['class'].unique())" ] }, + { + "cell_type": "markdown", + "id": "8e29ae15", + "metadata": {}, + "source": [ + "Class is a Categorical Variable, represented here in integers (0,1,2) stored in our Dataframe as int64." + ] + }, { "cell_type": "markdown", "id": "a25f5e1b", @@ -453,7 +461,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "id": "bd7b0910", "metadata": {}, "outputs": [ @@ -491,7 +499,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 40, "id": "cc899b59", "metadata": {}, "outputs": [ @@ -565,7 +573,7 @@ "metadata": {}, "source": [ "> Your answer here...\n", - "class is a response variable and diistances are not beng computed on it. Standardizing it would distort the class labels (0, 1, 2) and break the classifier." + "class is a response variable and distances are not being computed on it. Standardizing it would distort the class labels (0, 1, 2) and break the classifier." ] }, { @@ -582,7 +590,9 @@ "metadata": {}, "source": [ "#Your answer here...\n", - "np.random.seed(123)" + "np.random.seed(42)\n", + "-setting a seed is important as it ensures that random numbers stay the same each time we. It ensures that we have consistent results for testing. \n", + "Does the value matter? No ; any integer works, What matters is that anyone reproducing your work use the same value, not which value it is. if a seed value is not set, we have different results every time we run it" ] }, { @@ -597,20 +607,35 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 41, "id": "72c101f2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X_train shape: (133, 13)\n", + "X_test shape: (45, 13)\n", + "y_train shape: (133,)\n", + "y_test shape: (45,)\n" + ] + } + ], "source": [ "# set a seed for reproducibility\n", - "np.random.seed(123)\n", - "# split the data into a training and testing set. hint: use train_test_split !\n", + "np.random.seed(42)\n", + "#split the data into a training and testing set. hint: use train_test_split !\n", "\n", "# Your code here ...\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(\n", - " predictors_standardized, wine_df['class'], test_size=0.75, random_state=123\n", - ")" + " predictors_standardized, wine_df['class'], test_size=0.25, random_state=42\n", + ")\n", + "print(\"X_train shape:\", X_train.shape)\n", + "print(\"X_test shape:\", X_test.shape)\n", + "print(\"y_train shape:\", y_train.shape)\n", + "print(\"y_test shape:\", y_test.shape)" ] }, { @@ -633,2635 +658,15 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 42, "id": "08818c64", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_split.py:813: UserWarning: The least populated class in y has only 9 members, which is less than n_splits=10.\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 40, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 41, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 42, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 43, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 44, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Best n_neighbors: 4\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 45, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 46, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 47, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 48, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 49, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 39, n_samples = 5\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:927: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 916, in _score\n", - " scores = scorer(estimator, X_test, y_test, **score_params)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 317, in __call__\n", - " return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 409, in _score\n", - " y_pred = method_caller(\n", - " ^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\metrics\\_scorer.py\", line 96, in _cached_call\n", - " result, _ = _get_response_values(\n", - " ^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\utils\\_response.py\", line 214, in _get_response_values\n", - " y_pred = prediction_method(X)\n", - " ^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_classification.py\", line 278, in predict\n", - " neigh_ind = self.kneighbors(X, return_distance=False)\n", - " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", - " File \"c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\neighbors\\_base.py\", line 847, in kneighbors\n", - " raise ValueError(\n", - "ValueError: Expected n_neighbors <= n_samples_fit, but n_neighbors = 50, n_samples_fit = 40, n_samples = 4\n", - "\n", - " warnings.warn(\n", - "c:\\Users\\ktemu\\LCR\\lcr-env\\Lib\\site-packages\\sklearn\\model_selection\\_search.py:1137: UserWarning: One or more of the test scores are non-finite: [0.885 0.885 0.925 0.95 0.925 0.95 0.95 0.95 0.95 0.95 0.95 0.95\n", - " 0.95 0.95 0.95 0.925 0.815 0.76 0.715 0.715 0.69 0.615 0.59 0.565\n", - " 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565 0.565\n", - " 0.565 0.565 0.565 nan nan nan nan nan nan nan nan nan\n", - " nan nan]\n", - " warnings.warn(\n" + "Best n_neighbors: 15\n" ] } ], @@ -3270,7 +675,7 @@ "# Your code here...\n", "knn = KNeighborsClassifier()\n", "\n", - "param_grid = {'n_neighbors': list(range(1, 51))}\n", + "param_grid = {'n_neighbors': range(1, 51)}\n", "\n", "grid_search = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n", "grid_search.fit(X_train, y_train)\n", @@ -3292,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 43, "id": "ffefa9f2", "metadata": {}, "outputs": [ @@ -3300,7 +705,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test Accuracy: 0.9478\n" + "Test Accuracy: 0.9556\n" ] } ],