Sample: 41
ID: X00016469670
Recall: 95.74%
Precision: 95.65%
Hmean: 95.70%
Sample: 42
ID: X00016469671
Recall: 97.56%
Precision: 97.56%
Hmean: 97.56%
Sample: 43
ID: X51005200931
Recall: 96.05%
Precision: 95.85%
Hmean: 95.95%
Sample: 44
ID: X51005230605
Recall: 95.00%
Precision: 94.67%
Hmean: 94.83%
Sample: 45
ID: X51005230616
Recall: 97.83%
Precision: 93.75%
Hmean: 95.74%
Sample: 46
ID: X51005230621
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 47
ID: X51005230648
Recall: 97.78%
Hmean: 98.88%
Sample: 48
ID: X51005230657
Recall: 96.14%
Precision: 99.22%
Hmean: 97.65%
Sample: 49
ID: X51005230659
Sample: 50
ID: X51005268275
Recall: 92.58%
Precision: 92.77%
Hmean: 92.68%
Sample: 51
ID: X51005268408
Sample: 52
ID: X51005288570
Recall: 98.82%
Precision: 97.30%
Hmean: 98.05%
Sample: 53
ID: X51005301666
Recall: 94.83%
Precision: 96.60%
Hmean: 95.71%
Sample: 54
ID: X51005337867
Recall: 99.67%
Precision: 97.67%
Hmean: 98.66%
Sample: 55
ID: X51005337877
Recall: 94.34%
Precision: 94.23%
Hmean: 94.29%
Sample: 56
ID: X51005361906
Recall: 88.89%
Precision: 91.14%
Hmean: 90.00%
Sample: 57
ID: X51005361908
Recall: 91.80%
Precision: 90.16%
Hmean: 90.98%
Sample: 58
ID: X51005361912
Recall: 90.00%
Precision: 89.84%
Hmean: 89.92%
Sample: 59
ID: X51005361923
Precision: 97.06%
Hmean: 98.51%
Sample: 60
ID: X51005365187
Recall: 97.17%
Precision: 97.12%
Hmean: 97.14%