Sample: 1
ID: X00016469670
Recall: 92.79%
Precision: 92.79%
Hmean: 92.79%
Sample: 2
ID: X00016469671
Recall: 93.62%
Precision: 94.62%
Hmean: 94.12%
Sample: 3
ID: X51005200931
Recall: 89.33%
Precision: 81.21%
Hmean: 85.08%
Sample: 4
ID: X51005230605
Recall: 96.67%
Precision: 97.75%
Hmean: 97.21%
Sample: 5
ID: X51005230616
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 6
ID: X51005230621
Recall: 90.91%
Precision: 84.03%
Hmean: 87.34%
Sample: 7
ID: X51005230648
Recall: 96.30%
Precision: 92.86%
Hmean: 94.55%
Sample: 8
ID: X51005230657
Recall: 97.81%
Precision: 99.26%
Hmean: 98.53%
Sample: 9
ID: X51005230659
Recall: 95.06%
Precision: 98.72%
Hmean: 96.86%
Sample: 10
ID: X51005268275
Recall: 93.36%
Precision: 97.04%
Hmean: 95.17%
Sample: 11
ID: X51005268408
Recall: 97.06%
Precision: 97.06%
Hmean: 97.06%
Sample: 12
ID: X51005288570
Recall: 96.55%
Precision: 98.25%
Hmean: 97.39%
Sample: 13
ID: X51005301666
Recall: 94.29%
Precision: 98.02%
Hmean: 96.12%
Sample: 14
ID: X51005337867
Recall: 96.64%
Precision: 98.29%
Hmean: 97.46%
Sample: 15
ID: X51005337877
Recall: 98.06%
Precision: 99.02%
Hmean: 98.54%
Sample: 16
ID: X51005361906
Recall: 98.73%
Precision: 99.36%
Hmean: 99.04%
Sample: 17
ID: X51005361908
Recall: 99.15%
Precision: 98.31%
Hmean: 98.72%
Sample: 18
ID: X51005361912
Recall: 98.31%
Hmean: 98.31%
Sample: 19
ID: X51005361923
Recall: 97.33%
Precision: 97.33%
Hmean: 97.33%
Sample: 20
ID: X51005365187
Recall: 97.60%
Precision: 97.60%
Hmean: 97.60%