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Ml backend handling extremely imbalanced and small dataset #646

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HyunjunA
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Addressed issues with an extremely imbalanced and small dataset by removing NaN values from the metrics. (This is a temporary fix.)

HyunjunA and others added 9 commits November 28, 2023 11:01
Update footer text "Developed by the Center for AI Research and Education (CAIRE) in the Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles, California, USA."
updated the broken download link.
…moving NaN values from the metrics. (This is a temporary fix.)
@HyunjunA HyunjunA requested a review from nickotto March 12, 2024 19:05
@HyunjunA HyunjunA self-assigned this Mar 12, 2024
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Pull Request Test Coverage Report for Build 8254404404

Details

  • 29 of 44 (65.91%) changed or added relevant lines in 1 file are covered.
  • 1 unchanged line in 1 file lost coverage.
  • Overall coverage decreased (-0.1%) to 81.965%

Changes Missing Coverage Covered Lines Changed/Added Lines %
machine/learn/skl_utils.py 29 44 65.91%
Files with Coverage Reduction New Missed Lines %
machine/learn/skl_utils.py 1 84.44%
Totals Coverage Status
Change from base Build 7023991248: -0.1%
Covered Lines: 4363
Relevant Lines: 5323

💛 - Coveralls

@HyunjunA HyunjunA merged commit 25bba92 into EpistasisLab:master Mar 12, 2024
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2 participants