Sample: 1
ID: X00016469670
Recall: 85.11%
Precision: 81.58%
Hmean: 83.31%
Sample: 2
ID: X00016469671
Recall: 56.10%
Precision: 55.56%
Hmean: 55.83%
Sample: 3
ID: X51005200931
Recall: 49.38%
Precision: 67.44%
Hmean: 57.02%
Sample: 4
ID: X51005230605
Recall: 77.27%
Precision: 78.79%
Hmean: 78.02%
Sample: 5
ID: X51005230616
Recall: 75.22%
Precision: 77.08%
Hmean: 76.14%
Sample: 6
ID: X51005230621
Recall: 62.59%
Precision: 76.89%
Hmean: 69.01%
Sample: 7
ID: X51005230648
Recall: 86.67%
Precision: 100.00%
Hmean: 92.86%
Sample: 8
ID: X51005230657
Recall: 77.19%
Precision: 97.37%
Hmean: 86.11%
Sample: 9
ID: X51005230659
Recall: 100.00%
Hmean: 100.00%
Sample: 10
ID: X51005268275
Recall: 47.87%
Precision: 67.64%
Hmean: 56.06%
Sample: 11
ID: X51005268408
Recall: 84.21%
Hmean: 91.43%
Sample: 12
ID: X51005288570
Recall: 97.06%
Hmean: 98.51%
Sample: 13
ID: X51005301666
Precision: 65.82%
Hmean: 55.42%
Sample: 14
ID: X51005337867
Recall: 61.97%
Precision: 75.81%
Hmean: 68.19%
Sample: 15
ID: X51005337877
Recall: 88.68%
Precision: 95.45%
Hmean: 91.94%
Sample: 16
ID: X51005361906
Recall: 62.96%
Precision: 79.55%
Hmean: 70.29%
Sample: 17
ID: X51005361908
Recall: 19.67%
Precision: 68.75%
Hmean: 30.59%
Sample: 18
ID: X51005361912
Recall: 69.35%
Precision: 82.93%
Hmean: 75.54%
Sample: 19
ID: X51005361923
Recall: 90.91%
Precision: 96.30%
Hmean: 93.53%
Sample: 20
ID: X51005365187
Recall: 76.42%
Precision: 89.83%
Hmean: 82.58%