tabpfn license info added

Author: moonlanderr

samples/04_gis_analysts_data_scientists/classifying_human_activity_using _tabPFN_classifier.ipynb

@@ -26,7 +26,8 @@
     "* [Predicting using TabPFN classifier model](#14)\n",
     "   *  [Predict using the trained model](#15)\n",
     "* [Accuracy assessment: Compute Model Metric](#16)\n",
-    "* [Conclusion](#17)"
+    "* [Conclusion](#17)\n",
+    "* [TabPFN License Information](#18) "
    ]
   },
   {
@@ -2136,6 +2137,22 @@
    "source": [
     "This project highlights the powerful capabilities of the TabPFN classifier for Human Activity Recognition (HAR) tasks. Even with a training dataset of just 1,020 samples, the model achieved impressive results on a larger test dataset of 6,332 samples, with an accuracy of 96.81%, precision, recall, and F1 score all reaching 0.97. The TabPFN model's speed, simplicity, and strong performance in classifying human activities, highlight its potential for applications in healthcare, fitness, smart cities and disaster relief operations, offering an efficient and scalable solution for HAR systems."
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### TabPFN License Information <a class=\"anchor\" id=\"18\"></a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "| License Description |\n",
+    "|:------------------- |\n",
+    "| Built with TabPFN - tabpfn.TabPFNClassifier <https://priorlabs.ai/tabpfn-license> |"
+   ]
   }
  ],
  "metadata": {