Sample: 1
ID: 1
Recall: 35.71%
Precision: 93.75%
F-score: 51.72%
Sample: 2
ID: 2
Recall: 28.57%
Precision: 100.00%
F-score: 44.44%
Sample: 3
ID: 3
Recall: 0.00%
Precision: 0.00%
F-score: 0.00%
Sample: 4
ID: 4
Recall: 7.69%
Precision: 60.00%
F-score: 13.64%
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: 15.79%
Precision: 85.71%
F-score: 26.67%
Sample: 9
ID: 9
Recall: 67.86%
Precision: 77.55%
F-score: 72.38%
Sample: 10
ID: 10
Recall: 91.43%
Precision: 84.21%
F-score: 87.67%
Sample: 11
ID: 11
Recall: 68.75%
Precision: 91.67%
F-score: 78.57%
Sample: 12
ID: 12
Recall: 100.00%
F-score: 100.00%
Sample: 13
ID: 13
Sample: 14
ID: 14
Recall: 63.01%
Precision: 84.40%
F-score: 72.16%
Sample: 15
ID: 15
Precision: 94.74%
F-score: 97.30%
Sample: 16
ID: 16
Sample: 17
ID: 17
Precision: 76.39%
F-score: 72.37%
Sample: 18
ID: 18
Sample: 19
ID: 19
Recall: 61.90%
Precision: 86.67%
F-score: 72.22%
Sample: 20
ID: 20
Recall: 95.65%
F-score: 95.65%