Sample: 21
ID: X00016469670
Recall: 95.74%
Precision: 97.67%
Hmean: 96.70%
Sample: 22
ID: X00016469671
Recall: 94.63%
Precision: 96.32%
Hmean: 95.47%
Sample: 23
ID: X51005200931
Recall: 82.72%
Precision: 81.71%
Hmean: 82.21%
Sample: 24
ID: X51005230605
Recall: 79.55%
Precision: 82.50%
Hmean: 81.00%
Sample: 25
ID: X51005230616
Recall: 97.83%
Precision: 97.83%
Hmean: 97.83%
Sample: 26
ID: X51005230621
Recall: 94.44%
Precision: 90.57%
Hmean: 92.46%
Sample: 27
ID: X51005230648
Recall: 88.89%
Precision: 92.50%
Hmean: 90.66%
Sample: 28
ID: X51005230657
Recall: 92.98%
Precision: 100.00%
Hmean: 96.36%
Sample: 29
ID: X51005230659
Recall: 100.00%
Hmean: 100.00%
Sample: 30
ID: X51005268275
Recall: 82.92%
Precision: 87.32%
Hmean: 85.06%
Sample: 31
ID: X51005268408
Recall: 94.74%
Hmean: 97.30%
Sample: 32
ID: X51005288570
Sample: 33
ID: X51005301666
Recall: 88.54%
Precision: 94.63%
Hmean: 91.49%
Sample: 34
ID: X51005337867
Recall: 98.36%
Precision: 96.30%
Hmean: 97.32%
Sample: 35
ID: X51005337877
Sample: 36
ID: X51005361906
Recall: 93.83%
Precision: 82.95%
Hmean: 88.06%
Sample: 37
ID: X51005361908
Recall: 89.84%
Precision: 93.70%
Hmean: 91.73%
Sample: 38
ID: X51005361912
Recall: 90.32%
Precision: 88.14%
Hmean: 89.22%
Sample: 39
ID: X51005361923
Sample: 40
ID: X51005365187
Recall: 95.28%
Precision: 94.95%
Hmean: 95.12%