Overfitting Underfitting, High Brass, Addressing Overfitting, Logistic Regression.
throw out. This idea of reducing the number of features can work well, and, can reduce over fitting. And, when we talk about model selection, we’ll go into this in much greater depth. But, the disadvantage is that, by throwing away some of the features, is also throwing away some of the information