Sample: 61

ID: X00016469670

Recall: 89.36%

Precision: 80.00%

Hmean: 84.42%

Sample: 62

ID: X00016469671

Recall: 55.61%

Precision: 52.44%

Hmean: 53.98%

Sample: 63

ID: X51005200931

Recall: 85.93%

Precision: 80.73%

Hmean: 83.25%

Sample: 64

ID: X51005230605

Recall: 63.64%

Precision: 64.29%

Hmean: 63.96%

Sample: 65

ID: X51005230616

Recall: 91.30%

Precision: 85.71%

Hmean: 88.42%

Sample: 66

ID: X51005230621

Recall: 62.22%

Precision: 60.00%

Hmean: 61.09%

Sample: 67

ID: X51005230648

Recall: 95.11%

Precision: 81.03%

Hmean: 87.51%

Sample: 68

ID: X51005230657

Recall: 96.49%

Precision: 95.56%

Hmean: 96.02%

Sample: 69

ID: X51005230659

Recall: 54.44%

Precision: 39.62%

Hmean: 45.87%

Sample: 70

ID: X51005268275

Recall: 76.18%

Precision: 73.73%

Hmean: 74.93%

Sample: 71

ID: X51005268408

Recall: 94.74%

Precision: 92.31%

Hmean: 93.51%

Sample: 72

ID: X51005288570

Recall: 93.53%

Precision: 91.22%

Hmean: 92.36%

Sample: 73

ID: X51005301666

Recall: 75.28%

Precision: 70.59%

Hmean: 72.86%

Sample: 74

ID: X51005337867

Recall: 93.11%

Precision: 86.23%

Hmean: 89.54%

Sample: 75

ID: X51005337877

Recall: 100.00%

Precision: 97.96%

Hmean: 98.97%

Sample: 76

ID: X51005361906

Recall: 93.58%

Precision: 85.95%

Hmean: 89.60%

Sample: 77

ID: X51005361908

Recall: 84.59%

Precision: 40.74%

Hmean: 54.99%

Sample: 78

ID: X51005361912

Recall: 93.23%

Precision: 85.08%

Hmean: 88.97%

Sample: 79

ID: X51005361923

Recall: 8.48%

Precision: 8.18%

Hmean: 8.33%

Sample: 80

ID: X51005365187

Recall: 99.62%

Precision: 99.24%

Hmean: 99.43%