Sample: 41
ID: X00016469670
Recall: 85.11%
Precision: 84.78%
Hmean: 84.94%
Sample: 42
ID: X00016469671
Recall: 56.10%
Precision: 56.10%
Hmean: 56.10%
Sample: 43
ID: X51005200931
Recall: 74.07%
Precision: 73.17%
Hmean: 73.62%
Sample: 44
ID: X51005230605
Recall: 65.91%
Precision: 67.50%
Hmean: 66.70%
Sample: 45
ID: X51005230616
Recall: 82.61%
Precision: 80.85%
Hmean: 81.72%
Sample: 46
ID: X51005230621
Recall: 98.15%
Precision: 98.11%
Hmean: 98.13%
Sample: 47
ID: X51005230648
Recall: 97.78%
Precision: 100.00%
Hmean: 98.88%
Sample: 48
ID: X51005230657
Recall: 96.49%
Precision: 98.00%
Hmean: 97.24%
Sample: 49
ID: X51005230659
Recall: 100.00%
Hmean: 100.00%
Sample: 50
ID: X51005268275
Recall: 83.82%
Precision: 87.42%
Hmean: 85.58%
Sample: 51
ID: X51005268408
Recall: 94.21%
Precision: 96.22%
Hmean: 95.20%
Sample: 52
ID: X51005288570
Sample: 53
ID: X51005301666
Recall: 88.54%
Precision: 92.41%
Hmean: 90.44%
Sample: 54
ID: X51005337867
Recall: 98.36%
Precision: 96.61%
Hmean: 97.48%
Sample: 55
ID: X51005337877
Recall: 94.34%
Hmean: 97.09%
Sample: 56
ID: X51005361906
Recall: 97.53%
Precision: 97.53%
Hmean: 97.53%
Sample: 57
ID: X51005361908
Precision: 92.31%
Hmean: 95.24%
Sample: 58
ID: X51005361912
Recall: 91.94%
Precision: 91.80%
Hmean: 91.87%
Sample: 59
ID: X51005361923
Recall: 96.97%
Precision: 96.97%
Hmean: 96.97%
Sample: 60
ID: X51005365187
Recall: 98.11%
Precision: 98.08%
Hmean: 98.10%