We have built and tested two supervised learner models-M1 and M2. We compare the test set accuracy of the models using the classical hypothesis testing paradigm using a 95% confidence setting. The computed value of P is 2.53. What can we say about this result? A) Model M₁performs significantly better than M_2. B) Model M₂performs significantly better than M_1. C) Both models perform at the same level of accuracy. D) The models differ significantly in their performance. E) More than one of a,b,c or d is correct.

Question

Quizplus · Accepted Answer

The computed value of P is 2.53, which is greater than the critical value of 1.96 for a 95% confidence level. This means that the difference in accuracy between the two models is statistically significant, and we can conclude that the models differ significantly in their performance.

We Have Built and Tested Two Supervised Learner Models-M1 and M2