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? - Githubissues

izxi / Learning

9 stars 3 forks source link

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? #37

Open rashmu opened 4 years ago

johnnieng commented 4 years ago

The models differ significantly in their performance *