Sample: 21
ID: X00016469670
Recall: 87.23%
Precision: 86.96%
Hmean: 87.10%
Sample: 22
ID: X00016469671
Recall: 53.66%
Precision: 55.00%
Hmean: 54.32%
Sample: 23
ID: X51005200931
Recall: 67.90%
Precision: 63.22%
Hmean: 65.48%
Sample: 24
ID: X51005230605
Recall: 40.91%
Precision: 43.90%
Hmean: 42.35%
Sample: 25
ID: X51005230616
Recall: 71.74%
Precision: 70.21%
Hmean: 70.97%
Sample: 26
ID: X51005230621
Recall: 92.59%
Precision: 98.04%
Hmean: 95.24%
Sample: 27
ID: X51005230648
Recall: 93.33%
Precision: 97.62%
Hmean: 95.43%
Sample: 28
ID: X51005230657
Recall: 92.63%
Precision: 99.17%
Hmean: 95.79%
Sample: 29
ID: X51005230659
Recall: 97.22%
Precision: 100.00%
Hmean: 98.59%
Sample: 30
ID: X51005268275
Recall: 80.45%
Precision: 87.86%
Hmean: 83.99%
Sample: 31
ID: X51005268408
Recall: 94.74%
Precision: 94.74%
Hmean: 94.74%
Sample: 32
ID: X51005288570
Recall: 100.00%
Hmean: 100.00%
Sample: 33
ID: X51005301666
Recall: 79.55%
Precision: 87.14%
Hmean: 83.17%
Sample: 34
ID: X51005337867
Recall: 90.16%
Precision: 96.30%
Hmean: 93.13%
Sample: 35
ID: X51005337877
Recall: 94.34%
Hmean: 97.09%
Sample: 36
ID: X51005361906
Recall: 91.36%
Precision: 96.10%
Hmean: 93.67%
Sample: 37
ID: X51005361908
Recall: 80.33%
Precision: 87.50%
Hmean: 83.76%
Sample: 38
ID: X51005361912
Recall: 85.16%
Precision: 95.71%
Hmean: 90.13%
Sample: 39
ID: X51005361923
Recall: 96.97%
Hmean: 98.46%
Sample: 40
ID: X51005365187
Recall: 98.11%
Hmean: 99.05%