Computer Science, asked by khushiraval7051, 1 year ago

For an underfit data set the training and the cross validation error will be high true or false

Answers

Answered by Anonymous
6

Answer:

Explanation:

This statement is true

High variance means that your estimator (or learning algorithm) varies a lot depending on the data that you give it. ... This type of high variance is called overfitting. Thus usually overfitting is related to high variance.

Similar questions