Sample: 1
ID: X00016469670
Recall: 25.23%
Precision: 41.18%
Hmean: 31.28%
Sample: 2
ID: X00016469671
Recall: 27.66%
Precision: 46.43%
Hmean: 34.67%
Sample: 3
ID: X51005200931
Recall: 35.33%
Precision: 53.00%
Hmean: 42.40%
Sample: 4
ID: X51005230605
Recall: 28.89%
Precision: 49.06%
Hmean: 36.36%
Sample: 5
ID: X51005230616
Recall: 42.42%
Precision: 65.12%
Hmean: 51.38%
Sample: 6
ID: X51005230621
Recall: 16.36%
Precision: 32.73%
Hmean: 21.82%
Sample: 7
ID: X51005230648
Recall: 37.04%
Precision: 55.56%
Hmean: 44.44%
Sample: 8
ID: X51005230657
Recall: 29.20%
Precision: 50.63%
Hmean: 37.04%
Sample: 9
ID: X51005230659
Recall: 30.86%
Precision: 52.08%
Hmean: 38.76%
Sample: 10
ID: X51005268275
Recall: 25.12%
Precision: 51.46%
Hmean: 33.76%
Sample: 11
ID: X51005268408
Recall: 13.73%
Precision: 20.59%
Hmean: 16.47%
Sample: 12
ID: X51005288570
Recall: 15.52%
Precision: 33.33%
Hmean: 21.18%
Sample: 13
ID: X51005301666
Recall: 25.24%
Hmean: 33.87%
Sample: 14
ID: X51005337867
Recall: 26.89%
Precision: 51.61%
Hmean: 35.36%
Sample: 15
ID: X51005337877
Recall: 26.21%
Precision: 46.55%
Hmean: 33.54%
Sample: 16
ID: X51005361906
Recall: 15.29%
Precision: 34.78%
Hmean: 21.24%
Sample: 17
ID: X51005361908
Recall: 17.09%
Precision: 35.71%
Hmean: 23.12%
Sample: 18
ID: X51005361912
Recall: 14.41%
Precision: 30.91%
Hmean: 19.65%
Sample: 19
ID: X51005361923
Recall: 20.00%
Hmean: 25.64%
Sample: 20
ID: X51005365187
Recall: 19.76%
Precision: 40.24%
Hmean: 26.51%