- It includes all combination of features.
- Uses evaluation criteria like accuracy, precision and R-Squared
- This method iteratively adds or removes features which support the best performance of the model
- Consider the interaction between features. This makes this method to perform well and produce better results
- However, it is highly expensive. Fiter methods are cost effective
Methods available:
- Forward Selection
- Step wise Backward Elimination
- Exhaustive Search