000 AT&T 11:06 PM 27%) instructure-uploads.s3.amazonaws.com 4. Briefly explain why it is usually not objective to evaluate a classifier s performance based on the training data set? Why poor out-of-sample predictive accuracy sometimes signals the problem of overfitting? [16 points/ 5. Briefly explain two ways to limit overfitting in constructing a decision tree. Briefly explain the advantages and the weaknesses of decision trees. [16 points] 6. List four common properties of distance measures such as the Euclidean distance. Why it is often necessary to standardize your data when calculating the Euclidean distance? Briefly explain the four distance measures we often use to calculate the distance between two clusters. [18 points]