By analyzing the machine learning algorithm behavior, we are trying to understand the conditions, under which it generates good results. And thus, it can be generalized for a class of problems or an individual problem.
Algorithms are a crucial part of mastering machine learning. They are stochastic and it is almost impossible to finalize their precise behavior. As a result, it is difficult to judge their best and worst performance in different scenarios.
As the name suggests, machine learning means “the ability of a machine to learn by itself”. It is a part of artificial intelligence that helps the machine to gain intelligence through experience. They are not explicitly programmed to perform every action.