Machine Learning, Feature Sele, F1 Score, Classification, Imbalanced Class.
clf=XGBClassifier (). fit(x_train[cols], y_train) print (classification_report(y_test,clf.predict(x_test[cols]))) print(matthews_corrcoef(y_test,clf.predict(x_test[cols]))) Results of the Base model- link Above numbers will be our base numbers. We will try to improve these numbers through feature