Sample: 1
ID: X00016469670
Recall: 93.62%
Precision: 93.62%
Hmean: 93.62%
Sample: 2
ID: X00016469671
Recall: 85.37%
Precision: 85.37%
Hmean: 85.37%
Sample: 3
ID: X51005200931
Recall: 82.47%
Precision: 76.82%
Hmean: 79.54%
Sample: 4
ID: X51005230605
Recall: 77.27%
Precision: 77.27%
Hmean: 77.27%
Sample: 5
ID: X51005230616
Recall: 97.83%
Precision: 93.75%
Hmean: 95.74%
Sample: 6
ID: X51005230621
Recall: 96.30%
Precision: 96.23%
Hmean: 96.26%
Sample: 7
ID: X51005230648
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 8
ID: X51005230657
Recall: 96.14%
Precision: 99.22%
Hmean: 97.65%
Sample: 9
ID: X51005230659
Sample: 10
ID: X51005268275
Recall: 95.06%
Precision: 96.78%
Hmean: 95.91%
Sample: 11
ID: X51005268408
Sample: 12
ID: X51005288570
Recall: 99.41%
Precision: 97.84%
Hmean: 98.62%
Sample: 13
ID: X51005301666
Recall: 97.30%
Precision: 97.93%
Hmean: 97.62%
Sample: 14
ID: X51005337867
Recall: 98.36%
Precision: 98.28%
Hmean: 98.32%
Sample: 15
ID: X51005337877
Precision: 98.00%
Hmean: 98.99%
Sample: 16
ID: X51005361906
Sample: 17
ID: X51005361908
Precision: 98.36%
Hmean: 98.36%
Sample: 18
ID: X51005361912
Recall: 95.16%
Precision: 96.72%
Hmean: 95.93%
Sample: 19
ID: X51005361923
Sample: 20
ID: X51005365187
Recall: 97.17%
Precision: 97.09%
Hmean: 97.13%