The scrip also retunes a value called f1_score. Do some research to understand what this measure is. Repeat task-2 and this time justify your answer using f1_score. Do you arrive at the same conclusion?

Task 2 Try K-NN classifier for dataset provided in for different numbers of neighbours (K = 3 and K = 7). Which K provides better results? Justify your answer by using AUC of ROC curve. Also provide the relevant performance metrics such sensitivity, etc.

DON'T JUST ANS TASK 2 I NEED SOLUTION OF TASK 1 IF YOU ANS ONLY TASK 2 I WILL GOING TO REPORT YOU