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multi_label_precision_recall_accuracy_fscore

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History: 14 commits

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Update README.md

7cf89e7 verified 10 days ago

.gitattributes

1.52 kB

initial commit 17 days ago
README.md

2.87 kB

Update README.md 10 days ago
app.py

174 Bytes

add module default template 17 days ago
multi_label_precision_recall_accuracy_fscore.py

6.38 kB

change of behaviour for empty 13 days ago
requirements.txt

17 Bytes

Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant. 16 days ago
tests.py

9.33 kB

change of behaviour for empty 13 days ago