Suppose we have 100 individuals, some of whom have type 2 diabetes. We use a cla

Question

Suppose we have 100 individuals, some of whom have type 2 diabetes. We use a classification model based on health and lifestyle profiles of the individuals to estimate the probability that each individual is diabetic. If we use a 0.5 probability cut-off, the model predicts that 60 individuals are diabetic, of whom 54 individuals actually are diabetic, while of the other 40 individuals, only 5 are diabetic. Which of the following are possible results that could result from increasing the cut-off probability to 0.6? (Select all that apply.)

A) 47 actual diabetics out of 49 predicted diabetics; 12 actual diabetics out of 51 predicted non-diabetics.

B) 50 actual diabetics out of 53 predicted diabetics; 2 actual diabetics out of 47 predicted non-diabetics.

C) 55 actual diabetics out of 67 predicted diabetics; 6 actual diabetics out of 33 predicted non-diabetics.

D) 58 actual diabetics out of 69 predicted diabetics; 1 actual diabetic out of 31 predicted non-diabetics.

Explanation / Answer

SUm of actual diabetics is 54+5=59

THis is possible only in options A and D.

Out of these options, increasing probability cutoff will decrease the number of predicted diabetics

SO , A is the correct option

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