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Benchmarks
Multi-label Classification on KanShan-Cup dataset (test)
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1.36
Precision
EXAM
1.29656
1.31303
1.3295
1.34597
Nov 23, 2018
Precision
Recall@5
F1 Score
Updated 4d ago
Evaluation Results
Method
Method
Links
Precision
Recall@5
F1 Score
EXAM
Input Level=Word, Embe...
2018.11
1.36
56.1
39.7
Word-TextRNN
Input Level=Word
2018.11
1.345
55.5
39.3
TextCNN
Input Level=Word
2018.11
1.331
55
38.9
FastText
Input Level=Word
2018.11
1.325
54.6
38.7
Char-TextRNN
Input Level=Character
2018.11
1.304
53.7
38
Char-CNN
Input Level=Character
2018.11
1.299
53.6
37.9
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