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| Original file line number | Diff line number | Diff line change |
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| ## CAS | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.9457 | 0.9057 | 0.9052 | 28824 | | ||
| | known-tokens | 0.9514 | 0.9105 | 0.9106 | 27536 | | ||
| | unknown-tokens | 0.8238 | 0.6096 | 0.605 | 1288 | | ||
| | ambiguous-tokens | 0.9301 | 0.9036 | 0.9054 | 16647 | | ||
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| ### CAS Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | CAS=i | 0.82 | 0.83 | 0.83 | 588 | | ||
| | CAS=n | 0.90 | 0.88 | 0.89 | 4693 | | ||
| | CAS=r | 0.92 | 0.92 | 0.92 | 8310 | | ||
| | CAS=x | 0.98 | 0.98 | 0.98 | 15233 | | ||
| | avg / total | 0.91 | 0.91 | 0.91 | 28824 | | ||
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| ### CAS Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |----------|--------------|-------------|-----------------| | ||
| | CAS=r | 673 | CAS=n | 364 | | ||
| | | | CAS=x | 236 | | ||
| | | | CAS=i | 73 | | ||
| | CAS=n | 540 | CAS=r | 443 | | ||
| | | | CAS=x | 84 | | ||
| | | | CAS=i | 13 | | ||
| | CAS=x | 254 | CAS=r | 175 | | ||
| | | | CAS=n | 60 | | ||
| | | | CAS=i | 19 | | ||
| | CAS=i | 98 | CAS=r | 71 | | ||
| | | | CAS=n | 21 | | ||
| | | | CAS=x | 6 | |
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| ## DEGRE | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.9842 | 0.8266 | 0.7396 | 28824 | | ||
| | known-tokens | 0.9865 | 0.8475 | 0.7554 | 27536 | | ||
| | unknown-tokens | 0.9356 | 0.5693 | 0.4783 | 1288 | | ||
| | ambiguous-tokens | 0.9524 | 0.8443 | 0.7695 | 5863 | | ||
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| ### DEGRE Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | DEGRE=- | 0.89 | 0.93 | 0.91 | 1580 | | ||
| | DEGRE=c | 0.78 | 0.56 | 0.65 | 52 | | ||
| | DEGRE=p | 0.91 | 0.88 | 0.90 | 968 | | ||
| | DEGRE=s | 0.56 | 0.33 | 0.42 | 30 | | ||
| | DEGRE=x | 0.99 | 0.99 | 0.99 | 26194 | | ||
| | avg / total | 0.83 | 0.74 | 0.77 | 28824 | | ||
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| ### DEGRE Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |----------|--------------|-------------|-----------------| | ||
| | DEGRE=x | 192 | DEGRE=- | 120 | | ||
| | | | DEGRE=p | 69 | | ||
| | | | DEGRE=c | 2 | | ||
| | | | DEGRE=s | 1 | | ||
| | DEGRE=p | 114 | DEGRE=x | 85 | | ||
| | | | DEGRE=- | 28 | | ||
| | | | DEGRE=s | 1 | | ||
| | DEGRE=- | 107 | DEGRE=x | 83 | | ||
| | | | DEGRE=p | 13 | | ||
| | | | DEGRE=c | 6 | | ||
| | | | DEGRE=s | 5 | | ||
| | DEGRE=c | 23 | DEGRE=- | 16 | | ||
| | | | DEGRE=x | 4 | | ||
| | | | DEGRE=p | 2 | | ||
| | | | DEGRE=s | 1 | | ||
| | DEGRE=s | 20 | DEGRE=- | 18 | | ||
| | | | DEGRE=x | 2 | |
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| ## GENRE | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.9608 | 0.9276 | 0.8738 | 28824 | | ||
| | known-tokens | 0.9671 | 0.9332 | 0.8815 | 27536 | | ||
| | unknown-tokens | 0.8245 | 0.6139 | 0.6159 | 1288 | | ||
| | ambiguous-tokens | 0.9428 | 0.9156 | 0.863 | 13608 | | ||
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| ### GENRE Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | GENRE=f | 0.94 | 0.92 | 0.93 | 3696 | | ||
| | GENRE=m | 0.94 | 0.96 | 0.95 | 9413 | | ||
| | GENRE=n | 0.85 | 0.64 | 0.73 | 464 | | ||
| | GENRE=x | 0.98 | 0.98 | 0.98 | 15251 | | ||
| | avg / total | 0.93 | 0.87 | 0.90 | 28824 | | ||
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| ### GENRE Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |----------|--------------|-------------|-----------------| | ||
| | GENRE=m | 372 | GENRE=x | 201 | | ||
| | | | GENRE=f | 140 | | ||
| | | | GENRE=n | 31 | | ||
| | GENRE=f | 314 | GENRE=m | 245 | | ||
| | | | GENRE=x | 62 | | ||
| | | | GENRE=n | 7 | | ||
| | GENRE=x | 277 | GENRE=m | 187 | | ||
| | | | GENRE=f | 76 | | ||
| | | | GENRE=n | 14 | | ||
| | GENRE=n | 168 | GENRE=m | 111 | | ||
| | | | GENRE=x | 43 | | ||
| | | | GENRE=f | 14 | |
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| ## MODE | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.9897 | 0.9086 | 0.8815 | 28824 | | ||
| | known-tokens | 0.9932 | 0.9284 | 0.9066 | 27536 | | ||
| | unknown-tokens | 0.9146 | 0.7783 | 0.7381 | 1288 | | ||
| | ambiguous-tokens | 0.9722 | 0.8739 | 0.9003 | 4603 | | ||
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| ### MODE Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | MODE=con | 0.89 | 0.92 | 0.90 | 61 | | ||
| | MODE=imp | 0.82 | 0.70 | 0.75 | 120 | | ||
| | MODE=ind | 0.96 | 0.96 | 0.96 | 3320 | | ||
| | MODE=sub | 0.88 | 0.83 | 0.86 | 313 | | ||
| | MODE=x | 1.00 | 1.00 | 1.00 | 25010 | | ||
| | avg / total | 0.91 | 0.88 | 0.89 | 28824 | | ||
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| ### MODE Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |----------|--------------|-------------|-----------------| | ||
| | MODE=ind | 127 | MODE=x | 78 | | ||
| | | | MODE=sub | 29 | | ||
| | | | MODE=imp | 13 | | ||
| | | | MODE=con | 7 | | ||
| | MODE=x | 77 | MODE=ind | 71 | | ||
| | | | MODE=imp | 4 | | ||
| | | | MODE=sub | 2 | | ||
| | MODE=sub | 53 | MODE=ind | 42 | | ||
| | | | MODE=x | 9 | | ||
| | | | MODE=imp | 2 | | ||
| | MODE=imp | 36 | MODE=ind | 21 | | ||
| | | | MODE=x | 12 | | ||
| | | | MODE=sub | 3 | | ||
| | MODE=con | 5 | MODE=ind | 5 | |
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| ## NOMB | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.966 | 0.9589 | 0.9576 | 28824 | | ||
| | known-tokens | 0.9709 | 0.9635 | 0.9627 | 27536 | | ||
| | unknown-tokens | 0.8626 | 0.8505 | 0.7935 | 1288 | | ||
| | ambiguous-tokens | 0.9538 | 0.9473 | 0.9481 | 14032 | | ||
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| ### NOMB Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | NOMB.=p | 0.93 | 0.93 | 0.93 | 3953 | | ||
| | NOMB.=s | 0.97 | 0.97 | 0.97 | 13452 | | ||
| | NOMB.=x | 0.98 | 0.98 | 0.98 | 11419 | | ||
| | avg / total | 0.96 | 0.96 | 0.96 | 28824 | | ||
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| ### NOMB Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |----------|--------------|-------------|-----------------| | ||
| | NOMB.=s | 448 | NOMB.=x | 233 | | ||
| | | | NOMB.=p | 215 | | ||
| | NOMB.=p | 286 | NOMB.=s | 241 | | ||
| | | | NOMB.=x | 45 | | ||
| | NOMB.=x | 245 | NOMB.=s | 199 | | ||
| | | | NOMB.=p | 46 | |
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| ## PERS | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.9872 | 0.8732 | 0.7848 | 28824 | | ||
| | known-tokens | 0.9897 | 0.8782 | 0.7906 | 27536 | | ||
| | unknown-tokens | 0.9325 | 0.8832 | 0.8721 | 1288 | | ||
| | ambiguous-tokens | 0.9756 | 0.8709 | 0.7839 | 8648 | | ||
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| ### PERS Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | PERS.=0 | 0.50 | 0.07 | 0.12 | 28 | | ||
| | PERS.=1 | 0.95 | 0.94 | 0.94 | 916 | | ||
| | PERS.=2 | 0.96 | 0.94 | 0.95 | 770 | | ||
| | PERS.=3 | 0.97 | 0.98 | 0.97 | 4979 | | ||
| | PERS.=x | 0.99 | 0.99 | 0.99 | 22131 | | ||
| | avg / total | 0.87 | 0.78 | 0.80 | 28824 | | ||
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| ### PERS Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |----------|--------------|-------------|-----------------| | ||
| | PERS.=x | 126 | PERS.=3 | 80 | | ||
| | | | PERS.=1 | 25 | | ||
| | | | PERS.=2 | 21 | | ||
| | PERS.=3 | 119 | PERS.=x | 96 | | ||
| | | | PERS.=1 | 14 | | ||
| | | | PERS.=2 | 7 | | ||
| | | | PERS.=0 | 2 | | ||
| | PERS.=1 | 52 | PERS.=x | 25 | | ||
| | | | PERS.=3 | 21 | | ||
| | | | PERS.=2 | 6 | | ||
| | PERS.=2 | 47 | PERS.=x | 24 | | ||
| | | | PERS.=3 | 12 | | ||
| | | | PERS.=1 | 11 | | ||
| | PERS.=0 | 26 | PERS.=3 | 26 | |
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| ## TEMPS | ||
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| | | accuracy | precision | recall | support | | ||
| |------------------|----------|-----------|--------|---------| | ||
| | all | 0.9854 | 0.945 | 0.9408 | 28824 | | ||
| | known-tokens | 0.9886 | 0.9584 | 0.9585 | 27536 | | ||
| | unknown-tokens | 0.9169 | 0.8372 | 0.8109 | 1288 | | ||
| | ambiguous-tokens | 0.9644 | 0.9331 | 0.9527 | 4638 | | ||
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| ### TEMPS Classification report | ||
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| | target | precision | recall | f1-score | support | | ||
| |-------------|-----------|--------|----------|---------| | ||
| | TEMPS=fut | 0.90 | 0.93 | 0.92 | 224 | | ||
| | TEMPS=ipf | 0.96 | 0.94 | 0.95 | 687 | | ||
| | TEMPS=psp | 0.94 | 0.94 | 0.94 | 1020 | | ||
| | TEMPS=pst | 0.92 | 0.90 | 0.91 | 1702 | | ||
| | TEMPS=x | 0.99 | 0.99 | 0.99 | 25191 | | ||
| | avg / total | 0.94 | 0.94 | 0.94 | 28824 | | ||
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| ### TEMPS Confusion Matrix | ||
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| | Expected | Total Errors | Predictions | Predicted times | | ||
| |-----------|--------------|-------------|-----------------| | ||
| | TEMPS=pst | 174 | TEMPS=x | 136 | | ||
| | | | TEMPS=psp | 27 | | ||
| | | | TEMPS=ipf | 6 | | ||
| | | | TEMPS=fut | 5 | | ||
| | TEMPS=x | 128 | TEMPS=pst | 84 | | ||
| | | | TEMPS=psp | 29 | | ||
| | | | TEMPS=fut | 9 | | ||
| | | | TEMPS=ipf | 6 | | ||
| | TEMPS=psp | 66 | TEMPS=x | 26 | | ||
| | | | TEMPS=pst | 22 | | ||
| | | | TEMPS=ipf | 12 | | ||
| | | | TEMPS=fut | 6 | | ||
| | TEMPS=ipf | 39 | TEMPS=pst | 19 | | ||
| | | | TEMPS=x | 13 | | ||
| | | | TEMPS=psp | 5 | | ||
| | | | TEMPS=fut | 2 | | ||
| | TEMPS=fut | 15 | TEMPS=x | 14 | | ||
| | | | TEMPS=psp | 1 | |
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