Sample: 21

ID: X00016469670

Recall: 93.62%

Precision: 95.24%

Hmean: 94.42%

Sample: 22

ID: X00016469671

Recall: 85.37%

Precision: 83.78%

Hmean: 84.57%

Sample: 23

ID: X51005200931

Recall: 81.48%

Precision: 81.48%

Hmean: 81.48%

Sample: 24

ID: X51005230605

Recall: 81.82%

Precision: 91.89%

Hmean: 86.56%

Sample: 25

ID: X51005230616

Recall: 95.65%

Precision: 93.62%

Hmean: 94.62%

Sample: 26

ID: X51005230621

Recall: 96.30%

Precision: 98.00%

Hmean: 97.14%

Sample: 27

ID: X51005230648

Recall: 93.33%

Precision: 100.00%

Hmean: 96.55%

Sample: 28

ID: X51005230657

Recall: 89.47%

Precision: 97.67%

Hmean: 93.39%

Sample: 29

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 30

ID: X51005268275

Recall: 80.45%

Precision: 97.53%

Hmean: 88.17%

Sample: 31

ID: X51005268408

Recall: 94.74%

Precision: 97.06%

Hmean: 95.88%

Sample: 32

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 33

ID: X51005301666

Recall: 81.57%

Precision: 98.90%

Hmean: 89.41%

Sample: 34

ID: X51005337867

Recall: 85.25%

Precision: 92.00%

Hmean: 88.49%

Sample: 35

ID: X51005337877

Recall: 96.23%

Precision: 97.83%

Hmean: 97.02%

Sample: 36

ID: X51005361906

Recall: 88.89%

Precision: 96.92%

Hmean: 92.73%

Sample: 37

ID: X51005361908

Recall: 88.52%

Precision: 96.30%

Hmean: 92.25%

Sample: 38

ID: X51005361912

Recall: 85.48%

Precision: 96.00%

Hmean: 90.44%

Sample: 39

ID: X51005361923

Recall: 93.94%

Precision: 100.00%

Hmean: 96.88%

Sample: 40

ID: X51005365187

Recall: 95.28%

Precision: 96.67%

Hmean: 95.97%