Sample: 1
ID: X00016469670
Recall: 32.43%
Precision: 58.06%
Hmean: 41.62%
Sample: 2
ID: X00016469671
Recall: 19.15%
Precision: 40.91%
Hmean: 26.09%
Sample: 3
ID: X51005200931
Recall: 36.00%
Precision: 53.47%
Hmean: 43.03%
Sample: 4
ID: X51005230605
Recall: 20.00%
Hmean: 26.87%
Sample: 5
ID: X51005230616
Recall: 50.00%
Precision: 81.48%
Hmean: 61.97%
Sample: 6
ID: X51005230621
Recall: 14.55%
Precision: 32.00%
Hmean: 20.00%
Sample: 7
ID: X51005230648
Recall: 27.78%
Precision: 53.57%
Hmean: 36.59%
Sample: 8
ID: X51005230657
Recall: 27.01%
Precision: 57.81%
Hmean: 36.82%
Sample: 9
ID: X51005230659
Recall: 28.40%
Precision: 48.94%
Hmean: 35.94%
Sample: 10
ID: X51005268275
Recall: 32.70%
Precision: 69.00%
Hmean: 44.37%
Sample: 11
ID: X51005268408
Recall: 30.39%
Precision: 58.49%
Hmean: 40.00%
Sample: 12
ID: X51005288570
Recall: 27.59%
Precision: 43.24%
Hmean: 33.68%
Sample: 13
ID: X51005301666
Recall: 32.38%
Precision: 68.00%
Hmean: 43.87%
Sample: 14
ID: X51005337867
Recall: 15.13%
Precision: 31.03%
Hmean: 20.34%
Sample: 15
ID: X51005337877
Recall: 48.54%
Precision: 79.37%
Hmean: 60.24%
Sample: 16
ID: X51005361906
Recall: 23.57%
Precision: 56.06%
Hmean: 33.18%
Sample: 17
ID: X51005361908
Recall: 31.62%
Hmean: 40.88%
Sample: 18
ID: X51005361912
Recall: 26.27%
Precision: 62.00%
Hmean: 36.90%
Sample: 19
ID: X51005361923
Recall: 13.33%
Precision: 27.78%
Hmean: 18.02%
Sample: 20
ID: X51005365187
Recall: 38.92%
Precision: 71.43%
Hmean: 50.39%