Sample: 41
ID: X00016469670
Recall: 87.23%
Precision: 87.23%
Hmean: 87.23%
Sample: 42
ID: X00016469671
Recall: 34.15%
Precision: 34.15%
Hmean: 34.15%
Sample: 43
ID: X51005200931
Recall: 60.49%
Precision: 60.49%
Hmean: 60.49%
Sample: 44
ID: X51005230605
Recall: 22.73%
Precision: 22.73%
Hmean: 22.73%
Sample: 45
ID: X51005230616
Recall: 67.39%
Precision: 67.39%
Hmean: 67.39%
Sample: 46
ID: X51005230621
Recall: 96.30%
Precision: 96.30%
Hmean: 96.30%
Sample: 47
ID: X51005230648
Recall: 97.78%
Precision: 97.78%
Hmean: 97.78%
Sample: 48
ID: X51005230657
Recall: 96.14%
Precision: 97.54%
Hmean: 96.84%
Sample: 49
ID: X51005230659
Recall: 97.22%
Precision: 94.44%
Hmean: 95.81%
Sample: 50
ID: X51005268275
Recall: 97.75%
Precision: 97.75%
Hmean: 97.75%
Sample: 51
ID: X51005268408
Recall: 92.11%
Precision: 92.11%
Hmean: 92.11%
Sample: 52
ID: X51005288570
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 53
ID: X51005301666
Recall: 87.42%
Precision: 88.31%
Hmean: 87.86%
Sample: 54
ID: X51005337867
Recall: 93.44%
Precision: 93.44%
Hmean: 93.44%
Sample: 55
ID: X51005337877
Recall: 98.11%
Precision: 98.11%
Hmean: 98.11%
Sample: 56
ID: X51005361906
Recall: 95.06%
Precision: 95.06%
Hmean: 95.06%
Sample: 57
ID: X51005361908
Recall: 88.52%
Precision: 88.52%
Hmean: 88.52%
Sample: 58
ID: X51005361912
Sample: 59
ID: X51005361923
Sample: 60
ID: X51005365187