- feature_importances_ method from sklearn library
- euclidean distance (data must be normalized)
- coefficient correlation
- Forward selection
- Score without future selection: 0.7373737373737373
- Score with feature_importances_: 0.7474747474747475
- Score with euclidean distance: 0.8080808080808081
- Score with coefficient correlation: 0.8282828282828283
- Score with wrapper: 0.7676767676767676