A computer program is said to learn from experience E with

respect to some task T and some performance measure P if its

performance on T,$,$ as measured by P,$,$ improves with experience E.$.$

Suppose we feed a learning algorithm a lot of historical weather

data, and have it learn to predict weather. In this setting, what is T?$?$