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multi_label_precision_recall_accuracy_fscore
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multi_label_precision_recall_accuracy_fscore
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7 commits
mdocekal
readme example fix
a686ae2
28 days ago
.gitattributes
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1.52 kB
initial commit
29 days ago
README.md
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2.69 kB
readme example fix
28 days ago
app.py
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174 Bytes
add module default template
29 days ago
multi_label_precision_recall_accuracy_fscore.py
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6.29 kB
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
28 days ago
requirements.txt
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17 Bytes
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
28 days ago
tests.py
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9.33 kB
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
28 days ago