[WIP] implement balanced_accuracy_score#4300
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xuewei4d wants to merge 1 commit intoscikit-learn:masterfrom
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[WIP] implement balanced_accuracy_score#4300xuewei4d wants to merge 1 commit intoscikit-learn:masterfrom
xuewei4d wants to merge 1 commit intoscikit-learn:masterfrom
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any comment @arjoly @adam-m-mcelhinney @jnothman @larsmans @ogrisel ? |
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This is not what is returned by this function.
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This is my very first PR. I will rethink the code. Thanks! @ogrisel
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This function needs to be referenced in the documentation where appropriate. |
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Thanks @ogrisel! Fixed the problems you commented, but I don't it is necessary to change |
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closed in favor of #5588 |
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Added balanced_accuracy_score. #3506
My implementation is very simple. The definition of balanced accuracy score is
0.5 * true positives / (true positives + false negatives) + 0.5 * true negatives / (true negatives + false positives)It is actually the average of positive label recall and the negative label recall. It supports only binary label situation now.
There are other two relevant PRs #3929 #3511.