Sample: 1
ID: X00016469670
Recall: 95.74%
Precision: 97.73%
Hmean: 96.73%
Sample: 2
ID: X00016469671
Recall: 97.56%
Precision: 100.00%
Hmean: 98.77%
Sample: 3
ID: X51005200931
Recall: 86.17%
Precision: 82.09%
Hmean: 84.08%
Sample: 4
ID: X51005230605
Recall: 85.45%
Precision: 87.11%
Hmean: 86.27%
Sample: 5
ID: X51005230616
Recall: 97.39%
Precision: 91.20%
Hmean: 94.19%
Sample: 6
ID: X51005230621
Recall: 77.41%
Precision: 77.45%
Hmean: 77.43%
Sample: 7
ID: X51005230648
Recall: 100.00%
Hmean: 100.00%
Sample: 8
ID: X51005230657
Recall: 96.14%
Precision: 97.31%
Hmean: 96.72%
Sample: 9
ID: X51005230659
Recall: 98.89%
Precision: 97.84%
Hmean: 98.36%
Sample: 10
ID: X51005268275
Recall: 90.11%
Precision: 90.21%
Hmean: 90.16%
Sample: 11
ID: X51005268408
Recall: 99.47%
Precision: 96.50%
Hmean: 97.96%
Sample: 12
ID: X51005288570
Sample: 13
ID: X51005301666
Recall: 92.36%
Precision: 94.26%
Hmean: 93.30%
Sample: 14
ID: X51005337867
Recall: 98.03%
Precision: 95.00%
Hmean: 96.49%
Sample: 15
ID: X51005337877
Recall: 98.11%
Precision: 97.96%
Hmean: 98.04%
Sample: 16
ID: X51005361906
Recall: 97.28%
Precision: 93.57%
Hmean: 95.39%
Sample: 17
ID: X51005361908
Recall: 93.11%
Precision: 88.44%
Hmean: 90.72%
Sample: 18
ID: X51005361912
Recall: 93.55%
Precision: 95.08%
Hmean: 94.31%
Sample: 19
ID: X51005361923
Sample: 20
ID: X51005365187
Recall: 99.06%
Precision: 98.08%
Hmean: 98.56%