Sample: 21
ID: X00016469670
Recall: 89.36%
Precision: 89.13%
Hmean: 89.25%
Sample: 22
ID: X00016469671
Recall: 75.61%
Precision: 75.00%
Hmean: 75.30%
Sample: 23
ID: X51005200931
Recall: 84.94%
Precision: 79.09%
Hmean: 81.91%
Sample: 24
ID: X51005230605
Recall: 47.27%
Precision: 49.09%
Hmean: 48.16%
Sample: 25
ID: X51005230616
Recall: 78.26%
Precision: 76.60%
Hmean: 77.42%
Sample: 26
ID: X51005230621
Recall: 94.44%
Precision: 94.23%
Hmean: 94.34%
Sample: 27
ID: X51005230648
Recall: 88.89%
Precision: 86.05%
Hmean: 87.44%
Sample: 28
ID: X51005230657
Recall: 95.79%
Precision: 96.54%
Hmean: 96.16%
Sample: 29
ID: X51005230659
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 30
ID: X51005268275
Recall: 82.70%
Precision: 87.36%
Hmean: 84.96%
Sample: 31
ID: X51005268408
Recall: 97.37%
Precision: 94.87%
Hmean: 96.10%
Sample: 32
ID: X51005288570
Sample: 33
ID: X51005301666
Recall: 78.43%
Precision: 82.07%
Hmean: 80.21%
Sample: 34
ID: X51005337867
Recall: 96.72%
Precision: 96.55%
Hmean: 96.64%
Sample: 35
ID: X51005337877
Sample: 36
ID: X51005361906
Precision: 89.09%
Hmean: 86.97%
Sample: 37
ID: X51005361908
Recall: 59.02%
Precision: 61.02%
Hmean: 60.00%
Sample: 38
ID: X51005361912
Recall: 83.87%
Precision: 91.23%
Hmean: 87.39%
Sample: 39
ID: X51005361923
Sample: 40
ID: X51005365187