Data Sprit 14 - Patient Treatment Classification

In this data sprit, I have used Logistic Regression, Random Forest, Support Vector Machine, K-NN Classifier, Scalar like Standard & Quantile Transformer, Feature Selection - (1) from scikit-learn & (2) Boruta Feature Selector, and GridSearchCV for parameter tuning. After experimenting, finally Random Forest was best fitted model for Patient Treatment Classification For detail please refer my #Jupyter Notebook.