[MRG] implement InstanceHardnessCV #1125
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I made a small change in the way samples with large instance hardness are distributed over the folds. I first sort by label and then by proba before assigning the folds. Documentation is now also created. Let me know if there are questions or if there's something more I can do! |
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As discussed on LinkedIn with @glemaitre, I implemented the InstanceHardnessCV splitter as described in my blog post.
'Instance hardness' refers to the difficulty to classify an instance. The way hard-to-classify instances are distributed over train and test sets has significant effect on the test set performance metrics.
Todo:
examples/folder