Sample: 1
ID: X00016469670
Recall: 97.87%
Precision: 93.62%
Hmean: 95.70%
Sample: 2
ID: X00016469671
Recall: 95.12%
Precision: 95.12%
Hmean: 95.12%
Sample: 3
ID: X51005200931
Recall: 88.89%
Precision: 84.71%
Hmean: 86.75%
Sample: 4
ID: X51005230605
Recall: 79.09%
Precision: 80.91%
Hmean: 79.99%
Sample: 5
ID: X51005230616
Recall: 95.65%
Precision: 91.67%
Hmean: 93.62%
Sample: 6
ID: X51005230621
Recall: 94.44%
Precision: 92.73%
Hmean: 93.58%
Sample: 7
ID: X51005230648
Recall: 94.67%
Precision: 95.91%
Hmean: 95.28%
Sample: 8
ID: X51005230657
Recall: 96.49%
Precision: 96.00%
Hmean: 96.24%
Sample: 9
ID: X51005230659
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 10
ID: X51005268275
Recall: 86.74%
Precision: 87.20%
Hmean: 86.97%
Sample: 11
ID: X51005268408
Recall: 98.42%
Precision: 96.67%
Hmean: 97.54%
Sample: 12
ID: X51005288570
Recall: 98.82%
Precision: 97.78%
Hmean: 98.30%
Sample: 13
ID: X51005301666
Recall: 91.24%
Precision: 92.20%
Hmean: 91.72%
Sample: 14
ID: X51005337867
Recall: 99.34%
Precision: 98.67%
Hmean: 99.00%
Sample: 15
ID: X51005337877
Sample: 16
ID: X51005361906
Recall: 93.83%
Precision: 97.44%
Hmean: 95.60%
Sample: 17
ID: X51005361908
Recall: 96.72%
Precision: 95.16%
Hmean: 95.93%
Sample: 18
ID: X51005361912
Recall: 90.32%
Precision: 93.33%
Hmean: 91.80%
Sample: 19
ID: X51005361923
Recall: 98.79%
Precision: 96.32%
Sample: 20
ID: X51005365187
Recall: 98.11%
Precision: 98.04%
Hmean: 98.08%