We will go back to the original Supervised Learning Challenges.

Challenge 1

For the house representatives data set, calculate the accuracy, precision, recall and f1 scores of each classifier you built (on the test set).

Challenge 2

For each, draw the ROC curve and calculate the AUC.

Challenge 3

Calculate the same metrics you did in challenge 1, but this time in a cross validation scheme with the cross_val_score function (like in Challenge 9)

Challenge 4

For your movie classifiers, calculate the precision and recall for each class.

Challenge 5

Draw the ROC curve (and calculate AUC) for the logistic regression classifier from challenge 12