Select all the statements that correctly describes feature selection.

Feature selection is a dimensionality reduction approach that transforms high dimensional input to a lower dimension.

The outcome of feature selection is the subset of input.

Feature selection requires the learning model to choose useful feature by evaluating its performance.

Regularization is a kind of feature selection, known as wrapper method