Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

学習の結果を特徴量にする #17

Open
Inazuma110 opened this issue Apr 24, 2021 · 2 comments
Open

学習の結果を特徴量にする #17

Inazuma110 opened this issue Apr 24, 2021 · 2 comments

Comments

@Inazuma110
Copy link
Owner

手法Aで予測した結果を手法Bで予測する際の特徴量にすることで予測精度があがることもあるっぽい?です.
https://signate.jp/competitions/449/discussions/lgbmknn-lb06567-1 とかでやっています.

@Inazuma110
Copy link
Owner Author

Inazuma110 commented Apr 27, 2021

knnの結果をxgbに入れて0.5くらいでした.
one hot にしたらちょっと変わるかもだけど,あんまり本質的で無い気がします…

CV: 0.61005067979082
LB: 0.5526727

@Inazuma110
Copy link
Owner Author

Inazuma110 commented May 7, 2021

これをスタッキングと言います #30

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant