Future_selection

Data:

99 objects with 10000 features train dataset

99 objects with 10000 features test dataset

Classificator

Random forest from sklearn library

Used future selection methods:

Filters:

1. feature_importances_ method from sklearn library
2. euclidean distance (data must be normalized)
3. coefficient correlation

Wrapper:

1. Forward selection

Results

1. Score without future selection: 0.7373737373737373
2. Score with feature_importances_: 0.7474747474747475
3. Score with euclidean distance: 0.8080808080808081
4. Score with coefficient correlation: 0.8282828282828283
5. Score with wrapper: 0.7676767676767676