Sample: 21
ID: X00016469670
Recall: 79.28%
Precision: 80.00%
Hmean: 79.64%
Sample: 22
ID: X00016469671
Recall: 79.79%
Precision: 80.65%
Hmean: 80.21%
Sample: 23
ID: X51005200931
Recall: 64.67%
Precision: 62.99%
Hmean: 63.82%
Sample: 24
ID: X51005230605
Recall: 78.89%
Precision: 78.89%
Hmean: 78.89%
Sample: 25
ID: X51005230616
Recall: 80.30%
Precision: 82.81%
Hmean: 81.54%
Sample: 26
ID: X51005230621
Recall: 70.91%
Precision: 66.67%
Hmean: 68.72%
Sample: 27
ID: X51005230648
Recall: 53.70%
Precision: 61.05%
Hmean: 57.14%
Sample: 28
ID: X51005230657
Recall: 62.04%
Precision: 70.25%
Hmean: 65.89%
Sample: 29
ID: X51005230659
Recall: 75.31%
Precision: 81.33%
Hmean: 78.21%
Sample: 30
ID: X51005268275
Recall: 62.56%
Precision: 75.43%
Hmean: 68.39%
Sample: 31
ID: X51005268408
Recall: 68.63%
Precision: 70.71%
Hmean: 69.65%
Sample: 32
ID: X51005288570
Recall: 82.76%
Hmean: 81.36%
Sample: 33
ID: X51005301666
Recall: 63.33%
Precision: 76.00%
Hmean: 69.09%
Sample: 34
ID: X51005337867
Recall: 78.15%
Precision: 80.87%
Hmean: 79.49%
Sample: 35
ID: X51005337877
Recall: 87.38%
Precision: 92.78%
Hmean: 90.00%
Sample: 36
ID: X51005361906
Recall: 64.33%
Precision: 68.71%
Hmean: 66.45%
Sample: 37
ID: X51005361908
Recall: 56.41%
Precision: 60.55%
Hmean: 58.41%
Sample: 38
ID: X51005361912
Recall: 71.19%
Precision: 77.78%
Hmean: 74.34%
Sample: 39
ID: X51005361923
Recall: 78.67%
Precision: 77.63%
Hmean: 78.15%
Sample: 40
ID: X51005365187
Recall: 71.86%
Precision: 70.18%
Hmean: 71.01%