Question 4
Which of the following options is/are correct?
If the data contains many outliers, scaling using the mean and variance of the data is likely to not work very well.
RFE first removes a few features which are not important and then fits and removes again and fits. It repeats this iteration until it reaches a suitable number of features.
A pipeline cannot have any feature selection steps.
If you will execute model.fit() for a second time, it will start training again using passed data and will remove the existing results.