Sample: 1
ID: X00016469670
Recall: 51.91%
Precision: 55.09%
Hmean: 53.45%
Sample: 2
ID: X00016469671
Recall: 48.78%
Precision: 54.74%
Hmean: 51.59%
Sample: 3
ID: X51005200931
Recall: 18.52%
Precision: 34.78%
Hmean: 24.17%
Sample: 4
ID: X51005230605
Recall: 45.91%
Precision: 52.98%
Hmean: 49.19%
Sample: 5
ID: X51005230616
Recall: 38.70%
Precision: 58.13%
Hmean: 46.46%
Sample: 6
ID: X51005230621
Recall: 22.22%
Precision: 71.43%
Hmean: 33.90%
Sample: 7
ID: X51005230648
Recall: 54.22%
Precision: 63.49%
Hmean: 58.49%
Sample: 8
ID: X51005230657
Recall: 57.19%
Precision: 64.48%
Hmean: 60.62%
Sample: 9
ID: X51005230659
Recall: 68.89%
Precision: 66.03%
Hmean: 67.43%
Sample: 10
ID: X51005268275
Recall: 48.54%
Precision: 60.54%
Hmean: 53.88%
Sample: 11
ID: X51005268408
Recall: 73.16%
Precision: 60.94%
Hmean: 66.49%
Sample: 12
ID: X51005288570
Recall: 75.88%
Precision: 72.40%
Hmean: 74.10%
Sample: 13
ID: X51005301666
Recall: 52.13%
Precision: 58.92%
Hmean: 55.32%
Sample: 14
ID: X51005337867
Recall: 40.33%
Precision: 56.92%
Hmean: 47.21%
Sample: 15
ID: X51005337877
Recall: 72.45%
Precision: 74.92%
Hmean: 73.67%
Sample: 16
ID: X51005361906
Recall: 21.98%
Precision: 40.65%
Hmean: 28.53%
Sample: 17
ID: X51005361908
Recall: 37.05%
Precision: 57.86%
Hmean: 45.17%
Sample: 18
ID: X51005361912
Recall: 59.03%
Precision: 83.41%
Hmean: 69.14%
Sample: 19
ID: X51005361923
Recall: 24.24%
Precision: 50.00%
Hmean: 32.65%
Sample: 20
ID: X51005365187
Recall: 34.53%
Precision: 49.58%
Hmean: 40.71%