Sample: 1
ID: X00016469670
Recall: 72.34%
Precision: 79.31%
Hmean: 75.67%
Sample: 2
ID: X00016469671
Recall: 85.37%
Precision: 88.00%
Hmean: 86.66%
Sample: 3
ID: X51005200931
Recall: 54.32%
Precision: 73.17%
Hmean: 62.35%
Sample: 4
ID: X51005230605
Recall: 15.91%
Precision: 80.00%
Hmean: 26.54%
Sample: 5
ID: X51005230616
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 6
ID: X51005230621
Sample: 7
ID: X51005230648
Recall: 57.78%
Precision: 42.86%
Hmean: 49.21%
Sample: 8
ID: X51005230657
Recall: 24.56%
Precision: 36.84%
Hmean: 29.47%
Sample: 9
ID: X51005230659
Sample: 10
ID: X51005268275
Recall: 71.91%
Precision: 70.69%
Hmean: 71.29%
Sample: 11
ID: X51005268408
Sample: 12
ID: X51005288570
Recall: 94.12%
Precision: 93.33%
Hmean: 93.72%
Sample: 13
ID: X51005301666
Sample: 14
ID: X51005337867
Recall: 81.64%
Precision: 76.36%
Hmean: 78.91%
Sample: 15
ID: X51005337877
Recall: 54.72%
Precision: 59.26%
Hmean: 56.90%
Sample: 16
ID: X51005361906
Recall: 14.57%
Precision: 88.33%
Hmean: 25.01%
Sample: 17
ID: X51005361908
Sample: 18
ID: X51005361912
Recall: 35.48%
Precision: 34.88%
Hmean: 35.18%
Sample: 19
ID: X51005361923
Sample: 20
ID: X51005365187
Recall: 66.04%
Precision: 78.57%
Hmean: 71.76%