The following is the correct difference between machine learning algorithms and traditional rule$-$based methods? $($Select that may apply$)$

Traditional rule$-$based methods, in which the rules can be explicitly clarified manually

Traditional rule$-$based methods use explicit programming to solve problems

The mapping relationship of the model in machine learning is automatically learned

The mapping relationship of the model in the machine learning institute must be implicit