Sample: 21

ID: X00016469670

Recall: 74.47%

Precision: 73.91%

Hmean: 74.19%

Sample: 22

ID: X00016469671

Recall: 34.15%

Precision: 34.15%

Hmean: 34.15%

Sample: 23

ID: X51005200931

Recall: 57.78%

Precision: 57.35%

Hmean: 57.56%

Sample: 24

ID: X51005230605

Recall: 34.09%

Precision: 34.09%

Hmean: 34.09%

Sample: 25

ID: X51005230616

Recall: 66.52%

Precision: 64.40%

Hmean: 65.44%

Sample: 26

ID: X51005230621

Recall: 87.04%

Precision: 87.04%

Hmean: 87.04%

Sample: 27

ID: X51005230648

Recall: 84.00%

Precision: 83.56%

Hmean: 83.78%

Sample: 28

ID: X51005230657

Recall: 80.35%

Precision: 79.64%

Hmean: 80.00%

Sample: 29

ID: X51005230659

Recall: 91.67%

Precision: 96.97%

Hmean: 94.24%

Sample: 30

ID: X51005268275

Recall: 64.72%

Precision: 64.13%

Hmean: 64.42%

Sample: 31

ID: X51005268408

Recall: 86.84%

Precision: 86.84%

Hmean: 86.84%

Sample: 32

ID: X51005288570

Recall: 97.06%

Precision: 97.06%

Hmean: 97.06%

Sample: 33

ID: X51005301666

Recall: 62.47%

Precision: 63.04%

Hmean: 62.76%

Sample: 34

ID: X51005337867

Recall: 80.33%

Precision: 83.93%

Hmean: 82.09%

Sample: 35

ID: X51005337877

Recall: 94.34%

Precision: 95.92%

Hmean: 95.12%

Sample: 36

ID: X51005361906

Recall: 86.42%

Precision: 88.61%

Hmean: 87.50%

Sample: 37

ID: X51005361908

Recall: 68.85%

Precision: 70.00%

Hmean: 69.42%

Sample: 38

ID: X51005361912

Recall: 96.45%

Precision: 96.19%

Hmean: 96.32%

Sample: 39

ID: X51005361923

Recall: 96.36%

Precision: 98.79%

Hmean: 97.56%

Sample: 40

ID: X51005365187

Recall: 83.96%

Precision: 86.14%

Hmean: 85.04%