|
| Technique | Feature selection function | Parameters |
|
| Forward feature selection | sklearn.feature_selection.SequentialFeatureSelector() | svm.SVC (kernel = 'linear', degree = 2), n_features_to_select = 5/6/7/8/9/10, direction = 'forward',
scoring = 'accuracy',
cv = 5,
n_jobs = -1 |
|
| Backward feature elimination | sklearn.feature_selection.SequentialFeatureSelector() | svm.SVC (kernel = 'linear', degree = 2), n_features_to_select = 5/6/7/8/9/10, direction = 'backward',
scoring = 'accuracy',
cv = 5,
n_jobs = -1 |
|
| Recursive feature elimination | sklearn.feature_selection.RFE() | svm.SVC (kernel = 'linear', degree = 2), n_features_to_select = 5/6/7/8/9/10,
step = 1,
verbose = 2 |
|
| Exhaustive feature selection | mlxtend.feature_selection.ExhaustiveFeatureSelector() | svm.SVC (kernel = 'linear', degree = 2),
min_features = 4,
max_features = 5/6/7/8/9/10,
scoring = 'accuracy',
cv = 5,
n_jobs = -1 |
|
