Sample: 21
ID: X00016469670
Recall: 97.87%
Precision: 97.06%
Hmean: 97.46%
Sample: 22
ID: X00016469671
Recall: 95.12%
Precision: 90.63%
Hmean: 92.82%
Sample: 23
ID: X51005200931
Recall: 69.14%
Precision: 78.85%
Hmean: 73.67%
Sample: 24
ID: X51005230605
Recall: 81.82%
Precision: 88.57%
Hmean: 85.06%
Sample: 25
ID: X51005230616
Recall: 91.30%
Precision: 91.30%
Hmean: 91.30%
Sample: 26
ID: X51005230621
Recall: 92.59%
Precision: 95.83%
Hmean: 94.19%
Sample: 27
ID: X51005230648
Recall: 86.67%
Precision: 100.00%
Hmean: 92.86%
Sample: 28
ID: X51005230657
Recall: 78.95%
Hmean: 88.24%
Sample: 29
ID: X51005230659
Recall: 100.00%
Hmean: 100.00%
Sample: 30
ID: X51005268275
Recall: 65.84%
Precision: 76.62%
Hmean: 70.83%
Sample: 31
ID: X51005268408
Recall: 92.11%
Precision: 96.97%
Hmean: 94.47%
Sample: 32
ID: X51005288570
Recall: 94.12%
Precision: 94.12%
Hmean: 94.12%
Sample: 33
ID: X51005301666
Recall: 63.60%
Precision: 75.32%
Hmean: 68.96%
Sample: 34
ID: X51005337867
Recall: 85.25%
Precision: 93.75%
Hmean: 89.30%
Sample: 35
ID: X51005337877
Recall: 98.11%
Hmean: 99.05%
Sample: 36
ID: X51005361906
Hmean: 96.15%
Sample: 37
ID: X51005361908
Recall: 86.89%
Hmean: 90.19%
Sample: 38
ID: X51005361912
Recall: 85.48%
Precision: 97.96%
Sample: 39
ID: X51005361923
Recall: 93.94%
Hmean: 96.88%
Sample: 40
ID: X51005365187
Recall: 95.28%
Precision: 95.35%
Hmean: 95.32%