Sample: 1
ID: 1
Recall: 38.10%
Precision: 80.00%
F-score: 51.61%
Sample: 2
ID: 2
Recall: 71.43%
Precision: 55.56%
F-score: 62.50%
Sample: 3
ID: 3
Recall: 0.00%
Precision: 0.00%
F-score: 0.00%
Sample: 4
ID: 4
Recall: 7.69%
Precision: 21.43%
F-score: 11.32%
Sample: 5
ID: 5
Recall: 16.67%
Precision: 57.14%
F-score: 25.81%
Sample: 6
ID: 6
Sample: 7
ID: 7
Recall: 93.62%
Precision: 95.65%
F-score: 94.62%
Sample: 8
ID: 8
Recall: 51.32%
Precision: 72.22%
F-score: 60.00%
Sample: 9
ID: 9
Recall: 69.64%
Precision: 78.00%
F-score: 73.58%
Sample: 10
ID: 10
Recall: 90.00%
Precision: 32.31%
F-score: 47.55%
Sample: 11
ID: 11
Recall: 68.75%
Precision: 55.00%
F-score: 61.11%
Sample: 12
ID: 12
Recall: 100.00%
Precision: 100.00%
F-score: 100.00%
Sample: 13
ID: 13
Precision: 22.22%
F-score: 36.36%
Sample: 14
ID: 14
Recall: 69.18%
Precision: 79.53%
F-score: 73.99%
Sample: 15
ID: 15
Precision: 94.74%
F-score: 97.30%
Sample: 16
ID: 16
Sample: 17
ID: 17
Recall: 85.00%
Precision: 26.88%
F-score: 40.84%
Sample: 18
ID: 18
Sample: 19
ID: 19
Recall: 73.81%
Precision: 63.27%
F-score: 68.13%
Sample: 20
ID: 20
Recall: 95.65%
Precision: 91.67%
F-score: 93.62%