image_output_1.png
from mlxtend.feature_selection import SequentialFeatureSelector as SFS
sffs = SFS(RandomForestClassifier(), k_features=(1, len(X.columns)), forward=True, floating=True, scoring='accuracy', cv=5)
sffs.fit(X, y)
corr_features = list(sffs.k_feature_names_)
corr_features