Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
obtained results may not be entirely satisfactory, the LDA technique can still be effective. covMatrix_train = np.cov(y_train,bias=True) covMatrix_test = np.cov(X_test_std, bias = True) print(covMatrix_train) #0.24994662719755045 Since LDA is a good technique for separating two classes, the report