Sample: 21

ID: X00016469670

Recall: 91.49%

Precision: 95.45%

Hmean: 93.43%

Sample: 22

ID: X00016469671

Recall: 92.68%

Precision: 90.48%

Hmean: 91.57%

Sample: 23

ID: X51005200931

Recall: 80.25%

Precision: 73.86%

Hmean: 76.92%

Sample: 24

ID: X51005230605

Recall: 76.82%

Precision: 80.00%

Hmean: 78.38%

Sample: 25

ID: X51005230616

Recall: 91.30%

Precision: 89.36%

Hmean: 90.32%

Sample: 26

ID: X51005230621

Recall: 94.44%

Precision: 98.08%

Hmean: 96.23%

Sample: 27

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 28

ID: X51005230657

Recall: 96.14%

Precision: 99.22%

Hmean: 97.65%

Sample: 29

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 30

ID: X51005268275

Recall: 88.99%

Precision: 97.08%

Hmean: 92.86%

Sample: 31

ID: X51005268408

Recall: 97.37%

Precision: 100.00%

Hmean: 98.67%

Sample: 32

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 33

ID: X51005301666

Recall: 87.87%

Precision: 95.96%

Hmean: 91.73%

Sample: 34

ID: X51005337867

Recall: 98.36%

Precision: 95.00%

Hmean: 96.65%

Sample: 35

ID: X51005337877

Recall: 96.23%

Precision: 98.08%

Hmean: 97.14%

Sample: 36

ID: X51005361906

Recall: 89.88%

Precision: 96.84%

Hmean: 93.23%

Sample: 37

ID: X51005361908

Recall: 90.16%

Precision: 98.18%

Hmean: 94.00%

Sample: 38

ID: X51005361912

Recall: 88.71%

Precision: 98.21%

Hmean: 93.22%

Sample: 39

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 40

ID: X51005365187

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%