Sample: 21

ID: X00016469670

Recall: 95.74%

Precision: 97.67%

Hmean: 96.70%

Sample: 22

ID: X00016469671

Recall: 94.63%

Precision: 96.32%

Hmean: 95.47%

Sample: 23

ID: X51005200931

Recall: 82.72%

Precision: 81.71%

Hmean: 82.21%

Sample: 24

ID: X51005230605

Recall: 79.55%

Precision: 82.50%

Hmean: 81.00%

Sample: 25

ID: X51005230616

Recall: 97.83%

Precision: 97.83%

Hmean: 97.83%

Sample: 26

ID: X51005230621

Recall: 94.44%

Precision: 90.57%

Hmean: 92.46%

Sample: 27

ID: X51005230648

Recall: 88.89%

Precision: 92.50%

Hmean: 90.66%

Sample: 28

ID: X51005230657

Recall: 92.98%

Precision: 100.00%

Hmean: 96.36%

Sample: 29

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 30

ID: X51005268275

Recall: 82.92%

Precision: 87.32%

Hmean: 85.06%

Sample: 31

ID: X51005268408

Recall: 94.74%

Precision: 100.00%

Hmean: 97.30%

Sample: 32

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 33

ID: X51005301666

Recall: 88.54%

Precision: 94.63%

Hmean: 91.49%

Sample: 34

ID: X51005337867

Recall: 98.36%

Precision: 96.30%

Hmean: 97.32%

Sample: 35

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 36

ID: X51005361906

Recall: 93.83%

Precision: 82.95%

Hmean: 88.06%

Sample: 37

ID: X51005361908

Recall: 89.84%

Precision: 93.70%

Hmean: 91.73%

Sample: 38

ID: X51005361912

Recall: 90.32%

Precision: 88.14%

Hmean: 89.22%

Sample: 39

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 40

ID: X51005365187

Recall: 95.28%

Precision: 94.95%

Hmean: 95.12%