Question 21
Which of the following are correct statements?
Data with missing values can not be used to train a logistic or linear regression model.
KNN model is agnostic to scale of numerical features.
Like KNN imputer, other models e.g. decision tree, can also be used for imputation.
Filling 0 (zero) in place of missing values, is always the best approach for imputation.