Sample: 1
ID: X00016469670
Recall: 85.11%
Precision: 82.61%
Hmean: 83.84%
Sample: 2
ID: X00016469671
Recall: 65.85%
Precision: 65.00%
Hmean: 65.42%
Sample: 3
ID: X51005200931
Recall: 76.54%
Precision: 72.94%
Hmean: 74.70%
Sample: 4
ID: X51005230605
Recall: 65.00%
Precision: 68.78%
Hmean: 66.84%
Sample: 5
ID: X51005230616
Recall: 82.61%
Precision: 80.85%
Hmean: 81.72%
Sample: 6
ID: X51005230621
Recall: 92.59%
Precision: 94.23%
Hmean: 93.40%
Sample: 7
ID: X51005230648
Recall: 93.33%
Precision: 95.12%
Hmean: 94.22%
Sample: 8
ID: X51005230657
Recall: 97.89%
Precision: 99.22%
Hmean: 98.55%
Sample: 9
ID: X51005230659
Recall: 99.44%
Precision: 98.89%
Hmean: 99.17%
Sample: 10
ID: X51005268275
Recall: 63.60%
Precision: 69.29%
Hmean: 66.32%
Sample: 11
ID: X51005268408
Recall: 97.37%
Precision: 100.00%
Hmean: 98.67%
Sample: 12
ID: X51005288570
Recall: 99.41%
Precision: 98.86%
Hmean: 99.13%
Sample: 13
ID: X51005301666
Recall: 59.10%
Precision: 64.52%
Hmean: 61.69%
Sample: 14
ID: X51005337867
Recall: 88.52%
Precision: 95.92%
Hmean: 92.07%
Sample: 15
ID: X51005337877
Recall: 98.11%
Precision: 98.00%
Hmean: 98.06%
Sample: 16
ID: X51005361906
Recall: 90.12%
Precision: 97.26%
Hmean: 93.56%
Sample: 17
ID: X51005361908
Recall: 91.80%
Precision: 96.36%
Hmean: 94.03%
Sample: 18
ID: X51005361912
Recall: 90.32%
Hmean: 94.92%
Sample: 19
ID: X51005361923
Recall: 100.00%
Hmean: 100.00%
Sample: 20
ID: X51005365187
Recall: 70.57%
Precision: 77.71%
Hmean: 73.97%