Sample: 21
ID: X00016469670
Recall: 88.29%
Precision: 89.91%
Hmean: 89.09%
Sample: 22
ID: X00016469671
Recall: 87.23%
Precision: 87.23%
Hmean: 87.23%
Sample: 23
ID: X51005200931
Recall: 82.00%
Precision: 76.40%
Hmean: 79.10%
Sample: 24
ID: X51005230605
Recall: 91.11%
Precision: 90.11%
Hmean: 90.61%
Sample: 25
ID: X51005230616
Recall: 96.97%
Precision: 96.97%
Hmean: 96.97%
Sample: 26
ID: X51005230621
Recall: 82.73%
Precision: 76.47%
Hmean: 79.48%
Sample: 27
ID: X51005230648
Recall: 89.81%
Precision: 89.81%
Hmean: 89.81%
Sample: 28
ID: X51005230657
Recall: 86.86%
Precision: 90.84%
Hmean: 88.81%
Sample: 29
ID: X51005230659
Recall: 91.36%
Precision: 84.09%
Hmean: 87.57%
Sample: 30
ID: X51005268275
Recall: 90.52%
Precision: 93.63%
Hmean: 92.05%
Sample: 31
ID: X51005268408
Recall: 90.20%
Precision: 90.20%
Hmean: 90.20%
Sample: 32
ID: X51005288570
Recall: 94.83%
Precision: 90.16%
Hmean: 92.44%
Sample: 33
ID: X51005301666
Recall: 93.81%
Precision: 95.63%
Hmean: 94.71%
Sample: 34
ID: X51005337867
Recall: 88.24%
Precision: 88.98%
Hmean: 88.61%
Sample: 35
ID: X51005337877
Recall: 95.15%
Precision: 96.08%
Hmean: 95.61%
Sample: 36
ID: X51005361906
Recall: 95.54%
Precision: 96.77%
Hmean: 96.15%
Sample: 37
ID: X51005361908
Recall: 94.87%
Precision: 97.37%
Hmean: 96.10%
Sample: 38
ID: X51005361912
Recall: 97.46%
Precision: 97.46%
Hmean: 97.46%
Sample: 39
ID: X51005361923
Recall: 86.67%
Precision: 83.33%
Hmean: 84.97%
Sample: 40
ID: X51005365187
Recall: 93.41%
Precision: 92.86%
Hmean: 93.13%