Evaluating a hyphotesis
Evaluating a hyphotesis

Choosing the correct parameters whether is underfitting or overfitting

Much harder evaluate hypothesis if we have much more features

Split training examples, for first the usual training set.

The second, is the test set.

70% for training set and 30% set for test set for the split term

Recommended for the training set to be shuffled, or random sorted

Inject the theta from J theta training set and implement it for theta in Jerror test

These are the test error for linear regression

How about logistic regression at classification?