analyticalmindsltd / smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
http://smote-variants.readthedocs.io
MIT License
631 stars 137 forks source link

first try #51

Closed gykovacs closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #51 (e4510d4) into master (5daae9e) will decrease coverage by 0.67%. The diff coverage is 58.24%.

@@            Coverage Diff             @@
##           master      #51      +/-   ##
==========================================
- Coverage   88.11%   87.44%   -0.68%     
==========================================
  Files         100      100              
  Lines        8643     8643              
==========================================
- Hits         7616     7558      -58     
- Misses       1027     1085      +58     
Flag Coverage Δ
unittests 87.44% <58.24%> (-0.68%) :arrow_down:

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Impacted Files Coverage Δ
smote_variants/_smote_variants.py 93.70% <ø> (-0.05%) :arrow_down:
smote_variants/oversampling/_ADG.py 88.71% <ø> (ø)
smote_variants/oversampling/_AHC.py 100.00% <ø> (ø)
smote_variants/_metric_tensor.py 29.69% <44.92%> (ø)
smote_variants/__init__.py 100.00% <100.00%> (ø)
smote_variants/_queries.py 87.09% <100.00%> (ø)
smote_variants/noise_removal/_noisefilters.py 93.95% <100.00%> (+0.25%) :arrow_up:
smote_variants/oversampling/_ADASYN.py 98.57% <100.00%> (+2.27%) :arrow_up:
smote_variants/oversampling/_ADOMS.py 100.00% <100.00%> (ø)
smote_variants/oversampling/_SMOBD.py 77.21% <0.00%> (-20.05%) :arrow_down:
... and 77 more

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