Question

For an underfit data set the training and the cross validation error will be high. True or False?

Answer 1

For an under fit data set the training and the cross validation error will be high. The given statement is true.

In case of under fitting the variance cannot be explained properly in a data set as it is too simple.

Due to the reason, the errors would be high.

To eliminate the problem, one must model the desired value of the target as the polynomial (nth degree) that yields general Polynomial.

Answer 2

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. This is bad because it means your algorithm is probably not robust to noise