Back

rfecv recursive feature elimination

  • Posted by MDS 
from sklearn.feature_selection import RFECV

rfecv = RFECV(
    estimator=model,
    step=2,
    scoring="accuracy",
    min_features_to_select=8,
    n_jobs=-1,
)

rfecv.fit(df, y)

print("Selected Features",rfecv.n_features_)
author avatar
MDS

All the tutorials and courses are freely available and I will prefer to keep it that way to encourage all the readers to develop new skills which will help them to get their dream job or to master a skill.

Keep checking the Tutorials and latest uploaded Blogs!!!

You may also like

regularization techniques
A Comprehensive Guide to Regularization Techniques
23 March, 2023
mastering vif
Mastering VIF in Machine Learning for Robust Model Performance
21 March, 2023
PCA machine learning
Harness the Power of PCA in Machine Learning
18 March, 2023