Sample: 1
ID: 1
Recall: 50.00%
Precision: 84.00%
F-score: 62.69%
Sample: 2
ID: 2
Recall: 14.29%
Precision: 2.78%
F-score: 4.65%
Sample: 3
ID: 3
Recall: 0.00%
Precision: 0.00%
F-score: 0.00%
Sample: 4
ID: 4
Recall: 10.26%
Precision: 26.67%
F-score: 14.81%
Sample: 5
ID: 5
Recall: 8.33%
Precision: 66.67%
Sample: 6
ID: 6
Sample: 7
ID: 7
Recall: 85.11%
Precision: 95.24%
F-score: 89.89%
Sample: 8
ID: 8
Recall: 18.42%
Precision: 40.00%
F-score: 25.23%
Sample: 9
ID: 9
Recall: 51.79%
Precision: 87.88%
F-score: 65.17%
Sample: 10
ID: 10
Recall: 57.14%
Precision: 45.45%
F-score: 50.63%
Sample: 11
ID: 11
Sample: 12
ID: 12
Recall: 6.25%
Precision: 33.33%
F-score: 10.53%
Sample: 13
ID: 13
Sample: 14
ID: 14
Recall: 32.19%
Precision: 40.87%
F-score: 36.02%
Sample: 15
ID: 15
Sample: 16
ID: 16
Recall: 10.00%
F-score: 15.38%
Sample: 17
ID: 17
Recall: 31.25%
Precision: 26.60%
F-score: 28.74%
Sample: 18
ID: 18
Recall: 100.00%
Precision: 100.00%
F-score: 100.00%
Sample: 19
ID: 19
Sample: 20
ID: 20
Recall: 13.04%
Precision: 12.50%
F-score: 12.77%