Tune the parameters of a VotingClassifer or VotingRegressor
Want to improve the accuracy of your VotingClassifier? Try tuning the 'voting' and 'weights' parameters to change how predictions are combined!
P.S. If you're using VotingRegressor, just tune the 'weights' parameter
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Видео Tune the parameters of a VotingClassifer or VotingRegressor канала Data School
P.S. If you're using VotingRegressor, just tune the 'weights' parameter
👉 New tips every TUESDAY and THURSDAY! 👈
🎥 Watch all tips: https://www.youtube.com/playlist?list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6
🗒️ Code for all tips: https://github.com/justmarkham/scikit-learn-tips
💌 Get tips via email: https://scikit-learn.tips
=== WANT TO GET BETTER AT MACHINE LEARNING? ===
1) LEARN THE FUNDAMENTALS in my intro course (free!): https://courses.dataschool.io/introduction-to-machine-learning-with-scikit-learn
2) BUILD YOUR ML CONFIDENCE in my intermediate course: https://courses.dataschool.io/building-an-effective-machine-learning-workflow-with-scikit-learn
3) LET'S CONNECT!
- Newsletter: https://www.dataschool.io/subscribe/
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Видео Tune the parameters of a VotingClassifer or VotingRegressor канала Data School
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