Question

Multiple Choice Question (Please choose the correct answer with a proper explanation for each option):

Consider a classifier g based on thresholding some estimate î(x) of the conditional probability pr(Y = 1| X = x). Which of the following statement is, in general, accurate ? Circle all that applies. (a) As the true positive rate increase, the false positive rate increase. (b) As the true positive rate increase, the mis-classification rate decrease. (c) As the false positive rate decrease, the mis-classification rate decrease. (d) You cannot determine the mis-classification rate from just knowing the true positive rate and the false positive rate.

Answer 1

Mis classification :- ~ It refers to overall case how often it is wrong. Mis Classification Rate: false positive + Faded ngan Total CEP2 Mis classfication depend on FP and FN. - You can not determine the mis classification rate knowing Tree positive and parul negechive. True positive rate increases it means that your prediction and actual result same por a partitive stament as it is. where as true negative refers to the opposite case of statement where prediction and actual result same. If prediction on actual statement correct at the same time opposite statements prediction also done successfully As the True positive rate increase the false positive rate increase I option a and d)