Sample: 21
ID: X00016469670
Recall: 74.47%
Precision: 76.09%
Hmean: 75.27%
Sample: 22
ID: X00016469671
Recall: 41.46%
Precision: 41.46%
Hmean: 41.46%
Sample: 23
ID: X51005200931
Recall: 69.14%
Precision: 64.37%
Hmean: 66.67%
Sample: 24
ID: X51005230605
Recall: 45.00%
Precision: 45.58%
Hmean: 45.29%
Sample: 25
ID: X51005230616
Recall: 76.09%
Precision: 72.92%
Hmean: 74.47%
Sample: 26
ID: X51005230621
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 27
ID: X51005230648
Sample: 28
ID: X51005230657
Recall: 97.89%
Precision: 99.27%
Hmean: 98.58%
Sample: 29
ID: X51005230659
Recall: 97.22%
Precision: 97.14%
Hmean: 97.18%
Sample: 30
ID: X51005268275
Recall: 95.06%
Precision: 89.48%
Hmean: 92.19%
Sample: 31
ID: X51005268408
Sample: 32
ID: X51005288570
Recall: 99.41%
Precision: 98.86%
Hmean: 99.13%
Sample: 33
ID: X51005301666
Recall: 95.28%
Precision: 89.90%
Hmean: 92.51%
Sample: 34
ID: X51005337867
Recall: 98.36%
Precision: 96.61%
Hmean: 97.48%
Sample: 35
ID: X51005337877
Recall: 98.11%
Precision: 98.04%
Hmean: 98.08%
Sample: 36
ID: X51005361906
Sample: 37
ID: X51005361908
Recall: 89.84%
Precision: 86.88%
Hmean: 88.33%
Sample: 38
ID: X51005361912
Recall: 96.77%
Precision: 96.77%
Hmean: 96.77%
Sample: 39
ID: X51005361923
Sample: 40
ID: X51005365187