Sample: 21

ID: X00016469670

Recall: 87.39%

Precision: 88.99%

Hmean: 88.18%

Sample: 22

ID: X00016469671

Recall: 92.55%

Precision: 94.57%

Hmean: 93.55%

Sample: 23

ID: X51005200931

Recall: 88.00%

Precision: 81.99%

Hmean: 84.89%

Sample: 24

ID: X51005230605

Recall: 94.44%

Precision: 95.51%

Hmean: 94.97%

Sample: 25

ID: X51005230616

Recall: 96.97%

Precision: 96.24%

Hmean: 96.60%

Sample: 26

ID: X51005230621

Recall: 81.82%

Precision: 75.63%

Hmean: 78.60%

Sample: 27

ID: X51005230648

Recall: 95.37%

Precision: 92.79%

Hmean: 94.06%

Sample: 28

ID: X51005230657

Recall: 96.35%

Precision: 94.29%

Hmean: 95.31%

Sample: 29

ID: X51005230659

Recall: 96.30%

Precision: 95.12%

Hmean: 95.71%

Sample: 30

ID: X51005268275

Recall: 92.42%

Precision: 95.12%

Hmean: 93.75%

Sample: 31

ID: X51005268408

Recall: 93.14%

Precision: 94.06%

Hmean: 93.60%

Sample: 32

ID: X51005288570

Recall: 89.66%

Precision: 89.66%

Hmean: 89.66%

Sample: 33

ID: X51005301666

Recall: 96.19%

Precision: 98.06%

Hmean: 97.12%

Sample: 34

ID: X51005337867

Recall: 91.60%

Precision: 91.60%

Hmean: 91.60%

Sample: 35

ID: X51005337877

Recall: 95.15%

Precision: 96.08%

Hmean: 95.61%

Sample: 36

ID: X51005361906

Recall: 94.90%

Precision: 96.13%

Hmean: 95.51%

Sample: 37

ID: X51005361908

Recall: 94.02%

Precision: 95.65%

Hmean: 94.83%

Sample: 38

ID: X51005361912

Recall: 95.76%

Precision: 96.58%

Hmean: 96.17%

Sample: 39

ID: X51005361923

Recall: 89.33%

Precision: 88.16%

Hmean: 88.74%

Sample: 40

ID: X51005365187

Recall: 93.41%

Precision: 93.98%

Hmean: 93.69%