Model_interpretowalny

• Presentation.pdf - prezentacja wyników

XGBoost Model:

• zbiór_10.csv - data to analyse
• XGBoost_model.ipynb - XGBoost model report in Jupyter
• XGBoost_model_worse_version.ipynb - worse XGBoost model report in Jupter, used to compare Precision/Recall when using different methods
• XGBoost_model_ready.pkl - finished model exported with joblib

-> tu run: (usage: $ .\run_XGBoost.ps1)

• run_XGBoost.ps1 - file that runs the XGBoost model
• run_XGBoost_analysis.py - raw code from "XGBoost_model.ipynb" without Jupyter markdown
• requirements.txt - file specifying the project's dependencies for both XGBoost and LR

Logistic Regression Model:

• zbiór_10.csv - data to analyse
• regression_analysis.ipynb - logistic regression model report in Jupyter
• best_regression_model.pkl - logistic regression model chosen for further analysis
• wyniki_analizy.joblib - dictionary containing selected test cases, their indices, and computed SHAP values

-> to run: (usage: $ .\run_Regression.ps1)

• run_Regression.ps1 - file that runs the Logistic Regression model
• run_Regression_analysis.py - raw code from "regression_analysis.ipynb" without Jupyter markdown
• requirements.txt - file specifying the project's dependencies for both XGBoost and LR

-> bibliography.txt - materials used during project

Outdated files:

• Any file with the 'OLD_' prefix was created before the presentation and is considered outdated. They are retained for reference.