Sample: 1
ID: X00016469670
Recall: 96.40%
Precision: 95.54%
Hmean: 95.96%
Sample: 2
ID: X00016469671
Recall: 93.62%
Precision: 95.65%
Hmean: 94.62%
Sample: 3
ID: X51005200931
Recall: 86.00%
Precision: 78.18%
Hmean: 81.90%
Sample: 4
ID: X51005230605
Recall: 91.11%
Precision: 94.25%
Hmean: 92.66%
Sample: 5
ID: X51005230616
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 6
ID: X51005230621
Recall: 80.00%
Precision: 77.19%
Hmean: 78.57%
Sample: 7
ID: X51005230648
Recall: 89.81%
Precision: 90.65%
Hmean: 90.23%
Sample: 8
ID: X51005230657
Recall: 94.16%
Precision: 94.85%
Hmean: 94.51%
Sample: 9
ID: X51005230659
Recall: 93.83%
Precision: 97.44%
Hmean: 95.60%
Sample: 10
ID: X51005268275
Recall: 91.00%
Precision: 94.58%
Hmean: 92.75%
Sample: 11
ID: X51005268408
Recall: 97.06%
Precision: 97.06%
Hmean: 97.06%
Sample: 12
ID: X51005288570
Recall: 91.38%
Precision: 91.38%
Hmean: 91.38%
Sample: 13
ID: X51005301666
Recall: 90.95%
Precision: 94.55%
Hmean: 92.72%
Sample: 14
ID: X51005337867
Recall: 95.80%
Precision: 95.80%
Hmean: 95.80%
Sample: 15
ID: X51005337877
Recall: 96.12%
Precision: 98.02%
Sample: 16
ID: X51005361906
Recall: 94.27%
Precision: 96.10%
Hmean: 95.18%
Sample: 17
ID: X51005361908
Recall: 93.16%
Precision: 95.61%
Hmean: 94.37%
Sample: 18
ID: X51005361912
Recall: 96.61%
Hmean: 97.02%
Sample: 19
ID: X51005361923
Recall: 97.33%
Precision: 93.59%
Hmean: 95.42%
Sample: 20
ID: X51005365187
Recall: 94.01%
Hmean: 94.29%