Sample: 1
ID: X00016469670
Recall: 70.21%
Precision: 68.29%
Hmean: 69.24%
Sample: 2
ID: X00016469671
Recall: 53.66%
Precision: 54.29%
Hmean: 53.97%
Sample: 3
ID: X51005200931
Recall: 53.09%
Precision: 64.29%
Hmean: 58.15%
Sample: 4
ID: X51005230605
Recall: 70.45%
Precision: 75.76%
Hmean: 73.01%
Sample: 5
ID: X51005230616
Recall: 71.74%
Precision: 70.21%
Hmean: 70.97%
Sample: 6
ID: X51005230621
Recall: 88.89%
Precision: 89.80%
Hmean: 89.34%
Sample: 7
ID: X51005230648
Recall: 84.44%
Precision: 94.12%
Hmean: 89.02%
Sample: 8
ID: X51005230657
Recall: 82.46%
Precision: 100.00%
Hmean: 90.38%
Sample: 9
ID: X51005230659
Recall: 94.44%
Precision: 93.10%
Hmean: 93.77%
Sample: 10
ID: X51005268275
Recall: 61.12%
Precision: 74.38%
Hmean: 67.10%
Sample: 11
ID: X51005268408
Recall: 84.21%
Hmean: 91.43%
Sample: 12
ID: X51005288570
Recall: 100.00%
Hmean: 100.00%
Sample: 13
ID: X51005301666
Recall: 63.37%
Precision: 75.94%
Hmean: 69.09%
Sample: 14
ID: X51005337867
Recall: 78.69%
Precision: 82.98%
Hmean: 80.78%
Sample: 15
ID: X51005337877
Recall: 90.57%
Precision: 97.83%
Hmean: 94.06%
Sample: 16
ID: X51005361906
Recall: 74.07%
Precision: 85.42%
Hmean: 79.34%
Sample: 17
ID: X51005361908
Recall: 90.16%
Precision: 97.73%
Hmean: 93.79%
Sample: 18
ID: X51005361912
Recall: 65.81%
Precision: 79.11%
Hmean: 71.85%
Sample: 19
ID: X51005361923
Recall: 90.91%
Hmean: 95.24%
Sample: 20
ID: X51005365187
Recall: 88.68%
Precision: 95.89%
Hmean: 92.14%