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DOC effect and comparison to deal with imbalanced classification #648
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DOC effect and comparison to deal with imbalanced classification #648
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Hello @glemaitre! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:
Comment last updated at 2019-11-19 22:36:37 UTC |
This pull request introduces 3 alerts when merging 96ef7d4 into 158258e - view on LGTM.com new alerts:
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Codecov Report
@@ Coverage Diff @@
## master #648 +/- ##
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Coverage 98.46% 98.46%
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Files 82 82
Lines 4873 4873
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Hits 4798 4798
Misses 75 75 Continue to review full report at Codecov.
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This pull request introduces 3 alerts when merging 2940dbb into f356284 - view on LGTM.com new alerts:
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Co-Authored-By: Christos Aridas <chkoar@users.noreply.github.com>
This pull request introduces 2 alerts and fixes 3 when merging 4d0a629 into f356284 - view on LGTM.com new alerts:
fixed alerts:
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This pull request introduces 2 alerts when merging db914bf into f356284 - view on LGTM.com new alerts:
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This pull request introduces 2 alerts when merging 802cc44 into f356284 - view on LGTM.com new alerts:
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This pull request introduces 2 alerts when merging 8b11705 into f356284 - view on LGTM.com new alerts:
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This will show the effects of dealing with imbalanced classes.
In addition, we will show the different strategy which comes out-of-the-box in
scikit-learn
and the couple of methods which could be used successively fromimbalanced-learn