Question

Generalization error measures how well an algorithm perform on unseen data.The test error obtained using cross-validation is an estimate of the generalization error. Is this estimate unbiased?

Answer 1

Answer:

Generalization error measures how well an algorithm perform on unseen data. The test error obtained using cross-validation is an estimate of the general- ization error. ... The train error is quite low (almost what you expect it to), while the test error is much higher than the train error.

Explanation:

Generalization error measures how well an algorithm perform on unseen data. The test error obtained using cross-validation is an estimate of the general- ization error. ... The train error is quite low (almost what you expect it to), while the test error is much higher than the train error.