Sample: 21

ID: X00016469670

Recall: 64.86%

Precision: 69.23%

Hmean: 66.98%

Sample: 22

ID: X00016469671

Recall: 45.74%

Precision: 49.43%

Hmean: 47.51%

Sample: 23

ID: X51005200931

Recall: 61.33%

Precision: 60.53%

Hmean: 60.93%

Sample: 24

ID: X51005230605

Recall: 75.56%

Precision: 77.27%

Hmean: 76.40%

Sample: 25

ID: X51005230616

Recall: 65.91%

Precision: 70.16%

Hmean: 67.97%

Sample: 26

ID: X51005230621

Recall: 42.73%

Precision: 45.63%

Hmean: 44.13%

Sample: 27

ID: X51005230648

Recall: 57.41%

Precision: 64.58%

Hmean: 60.78%

Sample: 28

ID: X51005230657

Recall: 51.82%

Precision: 60.68%

Hmean: 55.91%

Sample: 29

ID: X51005230659

Recall: 59.26%

Precision: 57.83%

Hmean: 58.54%

Sample: 30

ID: X51005268275

Recall: 50.24%

Precision: 54.36%

Hmean: 52.22%

Sample: 31

ID: X51005268408

Recall: 27.45%

Precision: 30.11%

Hmean: 28.72%

Sample: 32

ID: X51005288570

Recall: 51.72%

Precision: 49.18%

Hmean: 50.42%

Sample: 33

ID: X51005301666

Recall: 55.71%

Precision: 58.79%

Hmean: 57.21%

Sample: 34

ID: X51005337867

Recall: 86.55%

Precision: 90.35%

Hmean: 88.41%

Sample: 35

ID: X51005337877

Recall: 73.79%

Precision: 76.77%

Hmean: 75.25%

Sample: 36

ID: X51005361906

Recall: 52.23%

Precision: 56.94%

Hmean: 54.49%

Sample: 37

ID: X51005361908

Recall: 41.88%

Precision: 49.00%

Hmean: 45.16%

Sample: 38

ID: X51005361912

Recall: 50.85%

Precision: 55.56%

Hmean: 53.10%

Sample: 39

ID: X51005361923

Recall: 36.00%

Precision: 39.13%

Hmean: 37.50%

Sample: 40

ID: X51005365187

Recall: 55.69%

Precision: 52.84%

Hmean: 54.23%