Machine Learning Question

x x 9000 x x b000 XX XXX XXXX X XXXX Xxx Consider a binary classification problem where you have three different models, A, B and C as plotted above. What can you conclude after seeing these plots? I. II. III. The training error in the first plot is the largest of the three. The best model for this problem should be the third plot because it has minimum training error. Second model seems to be a better choice than first and third because it is likely to perform best on unseen data. Third model seems to be verfitting more as compared to first and second. All will perform the same because we have not seen the testing data. IV. V. A) I and II B) I and III C) I and IV D ) I, II, III E) 1, III and IV F) I, IV and V