Sample: 21

ID: X00016469670

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 22

ID: X00016469671

Recall: 99.51%

Precision: 99.05%

Hmean: 99.28%

Sample: 23

ID: X51005200931

Recall: 91.36%

Precision: 87.06%

Hmean: 89.16%

Sample: 24

ID: X51005230605

Recall: 90.45%

Precision: 96.59%

Hmean: 93.42%

Sample: 25

ID: X51005230616

Recall: 99.13%

Precision: 96.33%

Hmean: 97.71%

Sample: 26

ID: X51005230621

Recall: 100.00%

Precision: 96.43%

Hmean: 98.18%

Sample: 27

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 28

ID: X51005230657

Recall: 94.39%

Precision: 95.71%

Hmean: 95.05%

Sample: 29

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 30

ID: X51005268275

Recall: 88.76%

Precision: 89.25%

Hmean: 89.01%

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: 95.51%

Precision: 96.56%

Hmean: 96.03%

Sample: 34

ID: X51005337867

Recall: 88.20%

Precision: 88.36%

Hmean: 88.28%

Sample: 35

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 36

ID: X51005361906

Recall: 92.59%

Precision: 91.36%

Hmean: 91.97%

Sample: 37

ID: X51005361908

Recall: 96.72%

Precision: 93.65%

Hmean: 95.16%

Sample: 38

ID: X51005361912

Recall: 88.71%

Precision: 88.71%

Hmean: 88.71%

Sample: 39

ID: X51005361923

Recall: 99.39%

Precision: 98.82%

Hmean: 99.11%

Sample: 40

ID: X51005365187

Recall: 93.21%

Precision: 92.88%

Hmean: 93.05%