Sample: 41

ID: X00016469670

Recall: 85.11%

Precision: 93.02%

Hmean: 88.89%

Sample: 42

ID: X00016469671

Recall: 63.41%

Precision: 65.00%

Hmean: 64.20%

Sample: 43

ID: X51005200931

Recall: 47.90%

Precision: 52.80%

Hmean: 50.23%

Sample: 44

ID: X51005230605

Recall: 24.55%

Precision: 29.00%

Hmean: 26.59%

Sample: 45

ID: X51005230616

Recall: 70.87%

Precision: 72.77%

Hmean: 71.81%

Sample: 46

ID: X51005230621

Recall: 74.07%

Precision: 83.33%

Hmean: 78.43%

Sample: 47

ID: X51005230648

Recall: 68.00%

Precision: 74.29%

Hmean: 71.00%

Sample: 48

ID: X51005230657

Recall: 63.86%

Precision: 67.55%

Hmean: 65.65%

Sample: 49

ID: X51005230659

Recall: 80.56%

Precision: 87.50%

Hmean: 83.88%

Sample: 50

ID: X51005268275

Recall: 31.91%

Precision: 48.31%

Hmean: 38.43%

Sample: 51

ID: X51005268408

Recall: 73.68%

Precision: 75.68%

Hmean: 74.67%

Sample: 52

ID: X51005288570

Recall: 87.65%

Precision: 90.00%

Hmean: 88.81%

Sample: 53

ID: X51005301666

Recall: 31.69%

Precision: 49.23%

Hmean: 38.56%

Sample: 54

ID: X51005337867

Recall: 72.13%

Precision: 84.00%

Hmean: 77.61%

Sample: 55

ID: X51005337877

Recall: 84.91%

Precision: 88.24%

Hmean: 86.54%

Sample: 56

ID: X51005361906

Recall: 75.56%

Precision: 79.51%

Hmean: 77.48%

Sample: 57

ID: X51005361908

Recall: 77.70%

Precision: 76.62%

Hmean: 77.16%

Sample: 58

ID: X51005361912

Recall: 84.19%

Precision: 85.23%

Hmean: 84.71%

Sample: 59

ID: X51005361923

Recall: 81.21%

Precision: 89.03%

Hmean: 84.94%

Sample: 60

ID: X51005365187

Recall: 83.96%

Precision: 90.63%

Hmean: 87.17%