1- Take any 2 datasets for classification task having more than 10 features and evaluate classification accuracy using KNN, Bayes, logistic regression. 2- (a) Reduce features (3,6, ...) manually by analysing features using scatter matrix (b) Reduce features upto 2 components using PCA and LDA 3- Use that reduced feature set evaluate classification accuracy using KNN, Bayes, logistic regression. 4- Compare and explain results obtained by 1, and 2 (a). 5- Compare and explain results obtained by 1, and 2 (b). 1- Take any 2 datasets for classification task having more than 10 features and evaluate classification accuracy using KNN, Bayes, logistic regression. 2- (a) Reduce features (3,6, ...) manually by analysing features using scatter matrix (b) Reduce features upto 2 components using PCA and LDA 3- Use that reduced feature set evaluate classification accuracy using KNN, Bayes, logistic regression. 4- Compare and explain results obtained by 1, and 2 (a). 5- Compare and explain results obtained by 1, and 2 (b)