ML_essentials_Two supervised learner models?

[izxi]

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?

Select one:

• [x] A. The models differ significantly in their performance
• [ ] B. Model M1 performs significantly better than M2
• [ ] C. Model M2 performs significantly better than M1
• [ ] D. Both models perform at the same level of accuracy

[izxi]

what a p-Value

[johnnieng]

A. The models differ significantly in their performance *