Sample: 21

ID: X00016469670

Recall: 95.50%

Precision: 95.50%

Hmean: 95.50%

Sample: 22

ID: X00016469671

Recall: 93.62%

Precision: 95.65%

Hmean: 94.62%

Sample: 23

ID: X51005200931

Recall: 87.33%

Precision: 79.39%

Hmean: 83.17%

Sample: 24

ID: X51005230605

Recall: 93.33%

Precision: 94.38%

Hmean: 93.85%

Sample: 25

ID: X51005230616

Recall: 98.48%

Precision: 97.74%

Hmean: 98.11%

Sample: 26

ID: X51005230621

Recall: 87.27%

Precision: 82.76%

Hmean: 84.96%

Sample: 27

ID: X51005230648

Recall: 97.22%

Precision: 95.45%

Hmean: 96.33%

Sample: 28

ID: X51005230657

Recall: 95.62%

Precision: 94.93%

Hmean: 95.27%

Sample: 29

ID: X51005230659

Recall: 98.77%

Precision: 98.77%

Hmean: 98.77%

Sample: 30

ID: X51005268275

Recall: 92.89%

Precision: 96.08%

Hmean: 94.46%

Sample: 31

ID: X51005268408

Recall: 87.25%

Precision: 88.12%

Hmean: 87.68%

Sample: 32

ID: X51005288570

Recall: 93.10%

Precision: 91.53%

Hmean: 92.31%

Sample: 33

ID: X51005301666

Recall: 94.29%

Precision: 97.06%

Hmean: 95.65%

Sample: 34

ID: X51005337867

Recall: 94.12%

Precision: 93.33%

Hmean: 93.72%

Sample: 35

ID: X51005337877

Recall: 98.06%

Precision: 99.02%

Hmean: 98.54%

Sample: 36

ID: X51005361906

Recall: 94.27%

Precision: 96.10%

Hmean: 95.18%

Sample: 37

ID: X51005361908

Recall: 91.45%

Precision: 93.86%

Hmean: 92.64%

Sample: 38

ID: X51005361912

Recall: 96.61%

Precision: 97.44%

Hmean: 97.02%

Sample: 39

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 40

ID: X51005365187

Recall: 95.81%

Precision: 95.81%

Hmean: 95.81%