Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
lr_normal.fit(X_train_std, y_train) pred_normal=lr_normal.predict(X_test_std) print ("Classification Report") print(classification_report(y_test, pred_normal)) print ("Confusion Report") print(confusion_matrix(y_test, pred_normal)) return lr_normal, pred_normal lr_normal, pred_normal = lr_lda(df)