Sample: 41

ID: X00016469670

Recall: 88.29%

Precision: 89.91%

Hmean: 89.09%

Sample: 42

ID: X00016469671

Recall: 87.23%

Precision: 87.23%

Hmean: 87.23%

Sample: 43

ID: X51005200931

Recall: 82.00%

Precision: 76.40%

Hmean: 79.10%

Sample: 44

ID: X51005230605

Recall: 91.11%

Precision: 90.11%

Hmean: 90.61%

Sample: 45

ID: X51005230616

Recall: 96.97%

Precision: 96.97%

Hmean: 96.97%

Sample: 46

ID: X51005230621

Recall: 82.73%

Precision: 76.47%

Hmean: 79.48%

Sample: 47

ID: X51005230648

Recall: 89.81%

Precision: 89.81%

Hmean: 89.81%

Sample: 48

ID: X51005230657

Recall: 86.86%

Precision: 90.84%

Hmean: 88.81%

Sample: 49

ID: X51005230659

Recall: 91.36%

Precision: 84.09%

Hmean: 87.57%

Sample: 50

ID: X51005268275

Recall: 90.52%

Precision: 93.63%

Hmean: 92.05%

Sample: 51

ID: X51005268408

Recall: 90.20%

Precision: 90.20%

Hmean: 90.20%

Sample: 52

ID: X51005288570

Recall: 94.83%

Precision: 90.16%

Hmean: 92.44%

Sample: 53

ID: X51005301666

Recall: 93.81%

Precision: 95.63%

Hmean: 94.71%

Sample: 54

ID: X51005337867

Recall: 88.24%

Precision: 88.98%

Hmean: 88.61%

Sample: 55

ID: X51005337877

Recall: 95.15%

Precision: 96.08%

Hmean: 95.61%

Sample: 56

ID: X51005361906

Recall: 95.54%

Precision: 96.77%

Hmean: 96.15%

Sample: 57

ID: X51005361908

Recall: 94.87%

Precision: 97.37%

Hmean: 96.10%

Sample: 58

ID: X51005361912

Recall: 97.46%

Precision: 97.46%

Hmean: 97.46%

Sample: 59

ID: X51005361923

Recall: 86.67%

Precision: 83.33%

Hmean: 84.97%

Sample: 60

ID: X51005365187

Recall: 93.41%

Precision: 92.86%

Hmean: 93.13%