Sample: 21

ID: X00016469670

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 22

ID: X00016469671

Recall: 95.12%

Precision: 95.12%

Hmean: 95.12%

Sample: 23

ID: X51005200931

Recall: 90.12%

Precision: 89.02%

Hmean: 89.57%

Sample: 24

ID: X51005230605

Recall: 72.27%

Precision: 72.44%

Hmean: 72.36%

Sample: 25

ID: X51005230616

Recall: 89.13%

Precision: 85.42%

Hmean: 87.23%

Sample: 26

ID: X51005230621

Recall: 92.59%

Precision: 92.59%

Hmean: 92.59%

Sample: 27

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 28

ID: X51005230657

Recall: 94.39%

Precision: 95.47%

Hmean: 94.93%

Sample: 29

ID: X51005230659

Recall: 97.22%

Precision: 97.14%

Hmean: 97.18%

Sample: 30

ID: X51005268275

Recall: 87.87%

Precision: 89.33%

Hmean: 88.59%

Sample: 31

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 32

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 33

ID: X51005301666

Recall: 92.36%

Precision: 94.89%

Hmean: 93.61%

Sample: 34

ID: X51005337867

Recall: 93.44%

Precision: 93.10%

Hmean: 93.27%

Sample: 35

ID: X51005337877

Recall: 98.11%

Precision: 97.96%

Hmean: 98.04%

Sample: 36

ID: X51005361906

Recall: 92.59%

Precision: 93.75%

Hmean: 93.17%

Sample: 37

ID: X51005361908

Recall: 94.75%

Precision: 94.52%

Hmean: 94.63%

Sample: 38

ID: X51005361912

Recall: 88.71%

Precision: 88.71%

Hmean: 88.71%

Sample: 39

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 40

ID: X51005365187

Recall: 94.34%

Precision: 94.17%

Hmean: 94.26%