Use ROC-AUC metric for classification model in examples #5440
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Looks good to me, thanks!
In the future when you make contributions here (or in any open source project on GitHub), I strongly recommend creating a branch on your fork instead of directly pushing to main / master.
Once this pull request is merged, you'll need to either delete your fork or do some manual rebasing and force pushing on master in your fork, since we squash all commits from PRs into a single commit when merging.
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Fixes #5397.
I think use rmse for classification module is inappropriate. So I use roc_auc_score replace mean_squared_error.
the reason of this update is show in the below link. #5397 (comment)
@jameslamb