Sample: 21

ID: X00016469670

Recall: 86.81%

Precision: 84.90%

Hmean: 85.84%

Sample: 22

ID: X00016469671

Recall: 80.49%

Precision: 80.49%

Hmean: 80.49%

Sample: 23

ID: X51005200931

Recall: 85.19%

Precision: 78.41%

Hmean: 81.66%

Sample: 24

ID: X51005230605

Recall: 63.18%

Precision: 63.56%

Hmean: 63.37%

Sample: 25

ID: X51005230616

Recall: 78.26%

Precision: 76.60%

Hmean: 77.42%

Sample: 26

ID: X51005230621

Recall: 96.30%

Precision: 89.47%

Hmean: 92.76%

Sample: 27

ID: X51005230648

Recall: 92.44%

Precision: 93.78%

Hmean: 93.11%

Sample: 28

ID: X51005230657

Recall: 92.63%

Precision: 95.38%

Hmean: 93.99%

Sample: 29

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 30

ID: X51005268275

Recall: 94.83%

Precision: 94.13%

Hmean: 94.48%

Sample: 31

ID: X51005268408

Recall: 99.47%

Precision: 98.97%

Hmean: 99.22%

Sample: 32

ID: X51005288570

Recall: 98.82%

Precision: 97.78%

Hmean: 98.30%

Sample: 33

ID: X51005301666

Recall: 93.93%

Precision: 93.48%

Hmean: 93.70%

Sample: 34

ID: X51005337867

Recall: 96.72%

Precision: 93.33%

Hmean: 95.00%

Sample: 35

ID: X51005337877

Recall: 98.11%

Precision: 98.00%

Hmean: 98.06%

Sample: 36

ID: X51005361906

Recall: 93.58%

Precision: 92.20%

Hmean: 92.88%

Sample: 37

ID: X51005361908

Recall: 93.11%

Precision: 94.33%

Hmean: 93.72%

Sample: 38

ID: X51005361912

Recall: 90.32%

Precision: 98.25%

Hmean: 94.12%

Sample: 39

ID: X51005361923

Recall: 93.94%

Precision: 93.94%

Hmean: 93.94%

Sample: 40

ID: X51005365187

Recall: 97.92%

Precision: 97.69%

Hmean: 97.81%