really need help thanks

9. (10 points) Answer the questions for one dataset consisting of M instances and N features. (1) (k-fold cross validation) How many training set(s) is/are used for each iteration? (2) (k-fold cross validation) How many test set(s) is/are used for each iteration?_ (3) (k-fold cross validation) How many training-testing iterations need to be performed? (4) (LOOCV) How many instance(s) is/are used in training data for each iteration? (5) (LOoCV) How many instance(s) is/are used in test data for each iteration? eave CroSS valiai(o) (LOocv) How many training-testing iterations need to be performed? (7) (TRUE or FALSE) Resampling technique is used to overcome overfitting. (8) (TRUE or FALSE) Bagging uses bootstrap(-sampling with replacement) replicateru (9) (TRUE or FALSE) Feature selection selected a subset of actual features among n features (10) (TRUE or FALSE) Feature transformation can be further classified into feature construction and feature extraction