Machine Learning, Feature Sele, F1 Score, Classification, Imbalanced Class.
Having less features in the model, makes it parsimonious and easily interpretable to human eyes · Helps in improving the accuracy of the model and reduces case of overfitting If you are building a regressive model, then standard statistical tests come in handy in pruning the model dimensionality