Sample: 41
ID: X00016469670
Recall: 88.94%
Precision: 86.38%
Hmean: 87.64%
Sample: 42
ID: X00016469671
Recall: 58.05%
Precision: 58.57%
Hmean: 58.31%
Sample: 43
ID: X51005200931
Recall: 77.78%
Precision: 73.26%
Hmean: 75.45%
Sample: 44
ID: X51005230605
Recall: 76.82%
Precision: 78.64%
Hmean: 77.72%
Sample: 45
ID: X51005230616
Recall: 97.83%
Precision: 93.75%
Hmean: 95.74%
Sample: 46
ID: X51005230621
Recall: 96.30%
Precision: 92.73%
Hmean: 94.48%
Sample: 47
ID: X51005230648
Recall: 97.78%
Precision: 97.73%
Hmean: 97.75%
Sample: 48
ID: X51005230657
Recall: 97.89%
Precision: 99.23%
Hmean: 98.56%
Sample: 49
ID: X51005230659
Recall: 97.22%
Precision: 97.14%
Hmean: 97.18%
Sample: 50
ID: X51005268275
Recall: 98.20%
Precision: 98.67%
Hmean: 98.43%
Sample: 51
ID: X51005268408
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 52
ID: X51005288570
Sample: 53
ID: X51005301666
Recall: 94.83%
Precision: 95.33%
Hmean: 95.08%
Sample: 54
ID: X51005337867
Recall: 97.70%
Precision: 93.97%
Hmean: 95.80%
Sample: 55
ID: X51005337877
Precision: 98.00%
Hmean: 98.99%
Sample: 56
ID: X51005361906
Recall: 95.06%
Precision: 97.47%
Hmean: 96.25%
Sample: 57
ID: X51005361908
Recall: 89.18%
Precision: 93.11%
Hmean: 91.11%
Sample: 58
ID: X51005361912
Recall: 93.55%
Precision: 96.67%
Sample: 59
ID: X51005361923
Sample: 60
ID: X51005365187