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ENH add early_termination control for boosting-based methods #7

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ZhiningLiu1998 opened this issue Nov 25, 2021 · 2 comments
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ENH add early_termination control for boosting-based methods #7

ZhiningLiu1998 opened this issue Nov 25, 2021 · 2 comments
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The early termination in sklearn.ensemble.AdaBoostClassifier may be too strict under certain scenarios (only 1 base classifier is trained), which greatly hinders the performance of boosting-based ensemble imbalanced learning methods.

It should make more sense to add a parameter that allows the user to decide whether to enable strict early termination.
@ZhiningLiu1998 ZhiningLiu1998 added the enhancement New feature or request label Nov 25, 2021
@ZhiningLiu1998 ZhiningLiu1998 self-assigned this Nov 25, 2021
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@all-contributors please add @ZhiningLiu1998 for the code and ideas

@allcontributors allcontributors bot mentioned this issue Dec 23, 2021
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@ZhiningLiu1998

I've put up a pull request to add @ZhiningLiu1998! 🎉

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