Sample: 1
ID: X00016469670
Recall: 73.19%
Precision: 78.18%
Hmean: 75.60%
Sample: 2
ID: X00016469671
Recall: 80.00%
Precision: 78.14%
Hmean: 79.06%
Sample: 3
ID: X51005200931
Recall: 74.07%
Precision: 71.53%
Hmean: 72.78%
Sample: 4
ID: X51005230605
Recall: 72.73%
Precision: 76.36%
Hmean: 74.50%
Sample: 5
ID: X51005230616
Precision: 80.00%
Hmean: 80.00%
Sample: 6
ID: X51005230621
Precision: 75.47%
Hmean: 74.77%
Sample: 7
ID: X51005230648
Recall: 74.67%
Hmean: 76.38%
Sample: 8
ID: X51005230657
Recall: 74.39%
Precision: 78.52%
Hmean: 76.40%
Sample: 9
ID: X51005230659
Recall: 77.78%
Hmean: 78.87%
Sample: 10
ID: X51005268275
Recall: 75.06%
Precision: 79.68%
Hmean: 77.30%
Sample: 11
ID: X51005268408
Sample: 12
ID: X51005288570
Sample: 13
ID: X51005301666
Recall: 73.71%
Hmean: 76.73%
Sample: 14
ID: X51005337867
Recall: 74.75%
Precision: 78.64%
Hmean: 76.65%
Sample: 15
ID: X51005337877
Recall: 75.47%
Hmean: 77.67%
Sample: 16
ID: X51005361906
Recall: 78.02%
Precision: 79.00%
Hmean: 78.51%
Sample: 17
ID: X51005361908
Recall: 64.26%
Precision: 78.40%
Hmean: 70.63%
Sample: 18
ID: X51005361912
Recall: 78.06%
Precision: 78.17%
Hmean: 78.12%
Sample: 19
ID: X51005361923
Precision: 75.43%
Hmean: 77.65%
Sample: 20
ID: X51005365187
Recall: 75.85%
Precision: 79.70%
Hmean: 77.73%