|
Evaluation results. Case 1 is using the dictionary feature. Case 2 is not using the dictionary feature. "TP", "FP", and "FN" are the numbers of true-positives, false-positives, and false-negatives. |
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| run |
Precision |
Recall |
Balanced f-score |
TP |
FP |
FN |
|
|
|
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| 1st |
0.8245 |
0.7416 |
0.7809 |
4412 |
939 |
1537 |
|
| case 1 |
2nd |
0.8230 |
0.7433 |
0.7811 |
4422 |
951 |
1527 |
| 3rd |
0.8225 |
0.7408 |
0.7795 |
4407 |
951 |
1542 |
|
|
|
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| case 2 |
without dictionary matching |
0.8122 |
0.7075 |
0.7562 |
4209 |
973 |
1740 |
Mitsumori et al. BMC Bioinformatics 2005 6(Suppl 1):S8 doi:10.1186/1471-2105-6-S1-S8 |
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