Feature accountability for 30-day Hospital Raadmission for Diabetes Patients

The project is divided three main files, first part is the EDA in Diabetes_EDA.ipynb Second is the Model building files, mlp and rf. - MLP_al_dfeatures_best.ipynb, RandomForest_all_dfeatures.ipynb Third is the model interpretation files, considering MLP as the best performing model, Lime_mlp_all_dfeatures.ipynb, DeepExplain_all_dfeatures.ipynb, DeepLift_all_dfeatures.ipynb Rest of the files contain the optimizations tried out as part of study.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
DeepExplain_25dfeatures.ipynb		DeepExplain_25dfeatures.ipynb
DeepExplain_all_dfeatures.ipynb		DeepExplain_all_dfeatures.ipynb
DeepLift_all_dfeatures.ipynb		DeepLift_all_dfeatures.ipynb
Diabetes_EDA.ipynb		Diabetes_EDA.ipynb
Final_thesis_report.docx		Final_thesis_report.docx
Lime_mlp_25_dfeatures.ipynb		Lime_mlp_25_dfeatures.ipynb
Lime_mlp_all_dfeatures.ipynb		Lime_mlp_all_dfeatures.ipynb
Lime_rf_all_dfeatures.ipynb		Lime_rf_all_dfeatures.ipynb
MLP.ipynb		MLP.ipynb
MLP_50_dfeatures.ipynb		MLP_50_dfeatures.ipynb
MLP_al_dfeatutes_best.ipynb		MLP_al_dfeatutes_best.ipynb
MLP_all_dfeatures.ipynb		MLP_all_dfeatures.ipynb
MLP_all_features.ipynb		MLP_all_features.ipynb
MLP_tune_smote.ipynb		MLP_tune_smote.ipynb
Modelling.ipynb		Modelling.ipynb
README.md		README.md
RandomForest.ipynb		RandomForest.ipynb
RandomForest_all_dfeatures-Copy1.ipynb		RandomForest_all_dfeatures-Copy1.ipynb
RandomForest_all_dfeatures.ipynb		RandomForest_all_dfeatures.ipynb
lime_rf_25dfeatures.ipynb		lime_rf_25dfeatures.ipynb
shap_rf_25dfeatures.ipynb		shap_rf_25dfeatures.ipynb
shap_rf_all_dfeatures.ipynb		shap_rf_all_dfeatures.ipynb

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Feature accountability for 30-day Hospital Raadmission for Diabetes Patients

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