Sample: 1
ID: X00016469670
Recall: 14.41%
Precision: 34.78%
Hmean: 20.38%
Sample: 2
ID: X00016469671
Recall: 15.96%
Precision: 36.59%
Hmean: 22.22%
Sample: 3
ID: X51005200931
Recall: 24.67%
Precision: 42.05%
Hmean: 31.09%
Sample: 4
ID: X51005230605
Recall: 23.33%
Precision: 46.67%
Hmean: 31.11%
Sample: 5
ID: X51005230616
Recall: 11.36%
Precision: 31.25%
Hmean: 16.67%
Sample: 6
ID: X51005230621
Recall: 14.55%
Precision: 30.19%
Hmean: 19.63%
Sample: 7
ID: X51005230648
Recall: 16.67%
Precision: 41.86%
Hmean: 23.84%
Sample: 8
ID: X51005230657
Recall: 14.60%
Precision: 37.74%
Hmean: 21.05%
Sample: 9
ID: X51005230659
Recall: 23.46%
Precision: 54.29%
Hmean: 32.76%
Sample: 10
ID: X51005268275
Recall: 20.38%
Precision: 45.74%
Hmean: 28.20%
Sample: 11
ID: X51005268408
Recall: 10.78%
Precision: 28.95%
Hmean: 15.71%
Sample: 12
ID: X51005288570
Recall: 29.31%
Precision: 50.00%
Hmean: 36.96%
Sample: 13
ID: X51005301666
Recall: 20.48%
Hmean: 28.29%
Sample: 14
ID: X51005337867
Recall: 25.21%
Hmean: 33.52%
Sample: 15
ID: X51005337877
Recall: 21.36%
Precision: 43.14%
Hmean: 28.57%
Sample: 16
ID: X51005361906
Recall: 26.75%
Precision: 53.16%
Hmean: 35.59%
Sample: 17
ID: X51005361908
Recall: 29.91%
Precision: 53.85%
Hmean: 38.46%
Sample: 18
ID: X51005361912
Recall: 27.12%
Precision: 51.61%
Hmean: 35.56%
Sample: 19
ID: X51005361923
Recall: 24.00%
Precision: 51.43%
Hmean: 32.73%
Sample: 20
ID: X51005365187
Recall: 30.54%
Precision: 48.11%
Hmean: 37.36%