Sample: 21
ID: X00016469670
Recall: 97.30%
Precision: 96.43%
Hmean: 96.86%
Sample: 22
ID: X00016469671
Recall: 96.81%
Precision: 97.85%
Hmean: 97.33%
Sample: 23
ID: X51005200931
Recall: 86.00%
Precision: 83.23%
Hmean: 84.59%
Sample: 24
ID: X51005230605
Recall: 98.89%
Precision: 98.89%
Hmean: 98.89%
Sample: 25
ID: X51005230616
Recall: 96.21%
Precision: 96.21%
Hmean: 96.21%
Sample: 26
ID: X51005230621
Recall: 87.27%
Precision: 85.71%
Hmean: 86.49%
Sample: 27
ID: X51005230648
Recall: 96.30%
Precision: 93.69%
Hmean: 94.98%
Sample: 28
ID: X51005230657
Recall: 96.35%
Precision: 95.65%
Hmean: 96.00%
Sample: 29
ID: X51005230659
Precision: 96.30%
Hmean: 96.30%
Sample: 30
ID: X51005268275
Recall: 91.00%
Precision: 94.12%
Hmean: 92.53%
Sample: 31
ID: X51005268408
Recall: 97.06%
Precision: 97.06%
Hmean: 97.06%
Sample: 32
ID: X51005288570
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 33
ID: X51005301666
Recall: 93.81%
Precision: 95.17%
Hmean: 94.48%
Sample: 34
ID: X51005337867
Recall: 94.12%
Precision: 98.25%
Hmean: 96.14%
Sample: 35
ID: X51005337877
Recall: 97.09%
Precision: 98.04%
Hmean: 97.56%
Sample: 36
ID: X51005361906
Recall: 98.73%
Precision: 99.36%
Hmean: 99.04%
Sample: 37
ID: X51005361908
Recall: 95.73%
Precision: 96.55%
Sample: 38
ID: X51005361912
Recall: 99.15%
Precision: 99.15%
Hmean: 99.15%
Sample: 39
ID: X51005361923
Recall: 92.00%
Precision: 93.24%
Hmean: 92.62%
Sample: 40
ID: X51005365187
Recall: 97.01%
Precision: 97.01%
Hmean: 97.01%