Question

What measures the extent to which the predictions change between various realizations of the model

Answer 1

Machine Learning becomes more accuracy is everything.

When you strive to make model and more accurate with tuning as well as tweaking the parameters and make it 100% accurate.

The hard truth about prediction/ classification models is to never be error free.

Y = f(X) + e f is some fixed but unknown function of X1,…,Xp, as well as e is the random error term as independent of X and has mean zero.

f represents the systematic information that X provides about Y.

Answer 2

Answer:

Explanation:

Variance