Sample: 1
ID: X00016469670
Recall: 49.79%
Precision: 44.07%
Hmean: 46.75%
Sample: 2
ID: X00016469671
Recall: 20.49%
Precision: 22.00%
Hmean: 21.22%
Sample: 3
ID: X51005200931
Recall: 56.79%
Precision: 59.88%
Hmean: 58.30%
Sample: 4
ID: X51005230605
Recall: 23.64%
Precision: 26.40%
Hmean: 24.94%
Sample: 5
ID: X51005230616
Recall: 34.35%
Precision: 28.28%
Hmean: 31.02%
Sample: 6
ID: X51005230621
Recall: 76.67%
Precision: 78.35%
Hmean: 77.50%
Sample: 7
ID: X51005230648
Recall: 80.89%
Precision: 78.13%
Hmean: 79.49%
Sample: 8
ID: X51005230657
Recall: 69.47%
Precision: 62.39%
Hmean: 65.74%
Sample: 9
ID: X51005230659
Recall: 62.22%
Precision: 51.95%
Hmean: 56.62%
Sample: 10
ID: X51005268275
Recall: 51.69%
Precision: 42.12%
Hmean: 46.41%
Sample: 11
ID: X51005268408
Recall: 52.11%
Precision: 36.73%
Hmean: 43.09%
Sample: 12
ID: X51005288570
Recall: 78.82%
Precision: 69.88%
Hmean: 74.08%
Sample: 13
ID: X51005301666
Recall: 44.94%
Precision: 31.92%
Hmean: 37.33%
Sample: 14
ID: X51005337867
Recall: 70.82%
Precision: 74.92%
Hmean: 72.81%
Sample: 15
ID: X51005337877
Recall: 72.08%
Precision: 68.29%
Hmean: 70.13%
Sample: 16
ID: X51005361906
Recall: 69.63%
Precision: 71.65%
Hmean: 70.63%
Sample: 17
ID: X51005361908
Recall: 69.51%
Precision: 63.85%
Hmean: 66.56%
Sample: 18
ID: X51005361912
Recall: 70.97%
Precision: 70.55%
Hmean: 70.76%
Sample: 19
ID: X51005361923
Recall: 56.36%
Precision: 42.31%
Hmean: 48.33%
Sample: 20
ID: X51005365187
Recall: 73.77%
Precision: 80.30%
Hmean: 76.90%