df_X has 11 features and
y is multi-class label. I used multi-class SVM to select importance of features.
estimator_.coef_ should return the score of each feature. But why here it returns a list of scores? The same case occured for multi-class LogisticRegression().
By the way, what's the difference between
SelectFromModel for feature selection in sklearn.