Sample: 21

ID: X00016469670

Recall: 51.91%

Precision: 55.09%

Hmean: 53.45%

Sample: 22

ID: X00016469671

Recall: 48.78%

Precision: 54.74%

Hmean: 51.59%

Sample: 23

ID: X51005200931

Recall: 18.52%

Precision: 34.78%

Hmean: 24.17%

Sample: 24

ID: X51005230605

Recall: 45.91%

Precision: 52.98%

Hmean: 49.19%

Sample: 25

ID: X51005230616

Recall: 38.70%

Precision: 58.13%

Hmean: 46.46%

Sample: 26

ID: X51005230621

Recall: 22.22%

Precision: 71.43%

Hmean: 33.90%

Sample: 27

ID: X51005230648

Recall: 54.22%

Precision: 63.49%

Hmean: 58.49%

Sample: 28

ID: X51005230657

Recall: 57.19%

Precision: 64.48%

Hmean: 60.62%

Sample: 29

ID: X51005230659

Recall: 68.89%

Precision: 66.03%

Hmean: 67.43%

Sample: 30

ID: X51005268275

Recall: 48.54%

Precision: 60.54%

Hmean: 53.88%

Sample: 31

ID: X51005268408

Recall: 73.16%

Precision: 60.94%

Hmean: 66.49%

Sample: 32

ID: X51005288570

Recall: 75.88%

Precision: 72.40%

Hmean: 74.10%

Sample: 33

ID: X51005301666

Recall: 52.13%

Precision: 58.92%

Hmean: 55.32%

Sample: 34

ID: X51005337867

Recall: 40.33%

Precision: 56.92%

Hmean: 47.21%

Sample: 35

ID: X51005337877

Recall: 72.45%

Precision: 74.92%

Hmean: 73.67%

Sample: 36

ID: X51005361906

Recall: 21.98%

Precision: 40.65%

Hmean: 28.53%

Sample: 37

ID: X51005361908

Recall: 37.05%

Precision: 57.86%

Hmean: 45.17%

Sample: 38

ID: X51005361912

Recall: 59.03%

Precision: 83.41%

Hmean: 69.14%

Sample: 39

ID: X51005361923

Recall: 24.24%

Precision: 50.00%

Hmean: 32.65%

Sample: 40

ID: X51005365187

Recall: 34.53%

Precision: 49.58%

Hmean: 40.71%