Sample: 1
ID: 1
Recall: 45.24%
Precision: 86.36%
F-score: 59.38%
Sample: 2
ID: 2
Recall: 0.00%
Precision: 0.00%
F-score: 0.00%
Sample: 3
ID: 3
Sample: 4
ID: 4
Recall: 23.08%
Precision: 40.91%
F-score: 29.51%
Sample: 5
ID: 5
Recall: 45.83%
Precision: 68.75%
F-score: 55.00%
Sample: 6
ID: 6
Sample: 7
ID: 7
Recall: 89.36%
Precision: 93.33%
F-score: 91.30%
Sample: 8
ID: 8
Recall: 46.05%
Precision: 97.22%
F-score: 62.50%
Sample: 9
ID: 9
Recall: 76.79%
Precision: 79.63%
F-score: 78.18%
Sample: 10
ID: 10
Recall: 88.57%
Precision: 83.78%
F-score: 86.11%
Sample: 11
ID: 11
Recall: 68.75%
Precision: 100.00%
F-score: 81.48%
Sample: 12
ID: 12
Recall: 100.00%
F-score: 100.00%
Sample: 13
ID: 13
Sample: 14
ID: 14
Recall: 75.34%
Precision: 84.62%
F-score: 79.71%
Sample: 15
ID: 15
Sample: 16
ID: 16
Sample: 17
ID: 17
Recall: 66.25%
Precision: 84.13%
F-score: 74.13%
Sample: 18
ID: 18
Recall: 81.82%
Precision: 90.00%
F-score: 85.71%
Sample: 19
ID: 19
Recall: 61.90%
Precision: 81.25%
F-score: 70.27%
Sample: 20
ID: 20
Recall: 95.65%
Precision: 88.00%
F-score: 91.67%