Sample: 1
ID: X00016469670
Recall: 95.74%
Precision: 97.83%
Hmean: 96.77%
Sample: 2
ID: X00016469671
Recall: 97.56%
Precision: 97.56%
Hmean: 97.56%
Sample: 3
ID: X51005200931
Recall: 89.88%
Precision: 84.60%
Hmean: 87.16%
Sample: 4
ID: X51005230605
Recall: 90.91%
Precision: 90.91%
Hmean: 90.91%
Sample: 5
ID: X51005230616
Recall: 97.83%
Precision: 93.75%
Hmean: 95.74%
Sample: 6
ID: X51005230621
Recall: 98.15%
Precision: 98.15%
Hmean: 98.15%
Sample: 7
ID: X51005230648
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 8
ID: X51005230657
Recall: 97.89%
Precision: 99.26%
Hmean: 98.57%
Sample: 9
ID: X51005230659
Sample: 10
ID: X51005268275
Recall: 97.98%
Precision: 97.29%
Hmean: 97.63%
Sample: 11
ID: X51005268408
Sample: 12
ID: X51005288570
Recall: 99.41%
Precision: 98.86%
Hmean: 99.13%
Sample: 13
ID: X51005301666
Recall: 96.85%
Hmean: 97.07%
Sample: 14
ID: X51005337867
Recall: 99.67%
Precision: 99.32%
Hmean: 99.50%
Sample: 15
ID: X51005337877
Sample: 16
ID: X51005361906
Recall: 98.77%
Precision: 98.77%
Hmean: 98.77%
Sample: 17
ID: X51005361908
Recall: 98.03%
Precision: 96.19%
Hmean: 97.10%
Sample: 18
ID: X51005361912
Sample: 19
ID: X51005361923
Sample: 20
ID: X51005365187