Sample: 1
ID: 1
Recall: 78.57%
Precision: 84.62%
F-score: 81.48%
Sample: 2
ID: 2
Recall: 71.43%
Precision: 100.00%
F-score: 83.33%
Sample: 3
ID: 3
Recall: 90.91%
Precision: 83.33%
F-score: 86.96%
Sample: 4
ID: 4
Recall: 12.82%
Precision: 26.32%
F-score: 17.24%
Sample: 5
ID: 5
Recall: 33.33%
Precision: 61.54%
F-score: 43.24%
Sample: 6
ID: 6
Recall: 90.00%
Precision: 90.00%
F-score: 90.00%
Sample: 7
ID: 7
Recall: 91.49%
Precision: 95.56%
F-score: 93.48%
Sample: 8
ID: 8
Recall: 28.95%
Precision: 75.86%
F-score: 41.90%
Sample: 9
ID: 9
Recall: 82.14%
Precision: 86.79%
F-score: 84.40%
Sample: 10
ID: 10
Precision: 92.65%
F-score: 91.30%
Sample: 11
ID: 11
Recall: 68.75%
Sample: 12
ID: 12
Recall: 100.00%
F-score: 100.00%
Sample: 13
ID: 13
Recall: 0.00%
Precision: 0.00%
F-score: 0.00%
Sample: 14
ID: 14
Recall: 62.33%
Precision: 78.45%
F-score: 69.47%
Sample: 15
ID: 15
Precision: 94.74%
F-score: 97.30%
Sample: 16
ID: 16
Sample: 17
ID: 17
Recall: 53.75%
Precision: 87.76%
F-score: 66.67%
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%
Precision: 91.67%
F-score: 93.62%