Sample: 21

ID: X00016469670

Recall: 40.43%

Precision: 40.43%

Hmean: 40.43%

Sample: 22

ID: X00016469671

Recall: 21.95%

Precision: 20.00%

Hmean: 20.93%

Sample: 23

ID: X51005200931

Recall: 69.14%

Precision: 63.64%

Hmean: 66.27%

Sample: 24

ID: X51005230605

Recall: 13.64%

Precision: 12.24%

Hmean: 12.90%

Sample: 25

ID: X51005230616

Recall: 23.91%

Precision: 22.45%

Hmean: 23.16%

Sample: 26

ID: X51005230621

Recall: 66.67%

Precision: 61.02%

Hmean: 63.72%

Sample: 27

ID: X51005230648

Recall: 60.00%

Precision: 55.56%

Hmean: 57.69%

Sample: 28

ID: X51005230657

Recall: 77.19%

Precision: 73.08%

Hmean: 75.08%

Sample: 29

ID: X51005230659

Recall: 63.33%

Precision: 50.21%

Hmean: 56.01%

Sample: 30

ID: X51005268275

Recall: 87.19%

Precision: 79.20%

Hmean: 83.00%

Sample: 31

ID: X51005268408

Recall: 97.37%

Precision: 97.37%

Hmean: 97.37%

Sample: 32

ID: X51005288570

Recall: 89.41%

Precision: 88.21%

Hmean: 88.80%

Sample: 33

ID: X51005301666

Recall: 80.67%

Precision: 72.60%

Hmean: 76.42%

Sample: 34

ID: X51005337867

Recall: 81.31%

Precision: 75.38%

Hmean: 78.24%

Sample: 35

ID: X51005337877

Recall: 81.13%

Precision: 73.68%

Hmean: 77.23%

Sample: 36

ID: X51005361906

Recall: 93.83%

Precision: 92.68%

Hmean: 93.25%

Sample: 37

ID: X51005361908

Recall: 93.44%

Precision: 86.36%

Hmean: 89.76%

Sample: 38

ID: X51005361912

Recall: 88.39%

Precision: 88.13%

Hmean: 88.26%

Sample: 39

ID: X51005361923

Recall: 99.39%

Precision: 93.33%

Hmean: 96.27%

Sample: 40

ID: X51005365187

Recall: 84.91%

Precision: 83.96%

Hmean: 84.43%