scikit-learn-contrib / imbalanced-learn / 124
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Jobs 2
Files 56
Run time 18s
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124

Pull #147

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Create the benchmark for undersampling methods
Pull Request #147: [WIP] Benchmarks

2997 of 2997 new or added lines in 48 files covered. (100.0%)

3273 of 3322 relevant lines covered (98.52%)

1.97 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
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 imblearn/base.py
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 imblearn/over_sampling/adasyn.py
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 imblearn/over_sampling/smote.py
2
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 imblearn/under_sampling/nearmiss.py
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 imblearn/under_sampling/edited_nearest_neighbours.py
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 imblearn/datasets/tests/test_benchmark.py
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 imblearn/pipeline.py
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 imblearn/under_sampling/tests/test_cluster_centroids.py
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 imblearn/version.py
16
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 imblearn/datasets/benchmark.py

Uncovered Existing Lines

Lines Coverage ∆ File
7
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 imblearn/over_sampling/smote.py
Jobs
ID Job ID Ran Files Coverage
1 124.1 (DISTRIB="conda" PYTHON_VERSION="2.7" COVERAGE="true" NUMPY_VERSION="1.9.3" SCIPY_VERSION="0.16.0") 0
98.52
 Travis Job 124.1
2 124.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.17.0") 0
98.52
 Travis Job 124.2
Source Files on build 124