Sample: 21
ID: X00016469670
Recall: 89.36%
Precision: 80.00%
Hmean: 84.42%
Sample: 22
ID: X00016469671
Recall: 55.61%
Precision: 52.44%
Hmean: 53.98%
Sample: 23
ID: X51005200931
Recall: 85.93%
Precision: 80.73%
Hmean: 83.25%
Sample: 24
ID: X51005230605
Recall: 63.64%
Precision: 64.29%
Hmean: 63.96%
Sample: 25
ID: X51005230616
Recall: 91.30%
Precision: 85.71%
Hmean: 88.42%
Sample: 26
ID: X51005230621
Recall: 62.22%
Precision: 60.00%
Hmean: 61.09%
Sample: 27
ID: X51005230648
Recall: 95.11%
Precision: 81.03%
Hmean: 87.51%
Sample: 28
ID: X51005230657
Recall: 96.49%
Precision: 95.56%
Hmean: 96.02%
Sample: 29
ID: X51005230659
Recall: 54.44%
Precision: 39.62%
Hmean: 45.87%
Sample: 30
ID: X51005268275
Recall: 76.18%
Precision: 73.73%
Hmean: 74.93%
Sample: 31
ID: X51005268408
Recall: 94.74%
Precision: 92.31%
Hmean: 93.51%
Sample: 32
ID: X51005288570
Recall: 93.53%
Precision: 91.22%
Hmean: 92.36%
Sample: 33
ID: X51005301666
Recall: 75.28%
Precision: 70.59%
Hmean: 72.86%
Sample: 34
ID: X51005337867
Recall: 93.11%
Precision: 86.23%
Hmean: 89.54%
Sample: 35
ID: X51005337877
Recall: 100.00%
Precision: 97.96%
Hmean: 98.97%
Sample: 36
ID: X51005361906
Recall: 93.58%
Precision: 85.95%
Hmean: 89.60%
Sample: 37
ID: X51005361908
Recall: 84.59%
Precision: 40.74%
Hmean: 54.99%
Sample: 38
ID: X51005361912
Recall: 93.23%
Precision: 85.08%
Hmean: 88.97%
Sample: 39
ID: X51005361923
Recall: 8.48%
Precision: 8.18%
Hmean: 8.33%
Sample: 40
ID: X51005365187
Recall: 99.62%
Precision: 99.24%
Hmean: 99.43%