Sample: 21

ID: X00016469670

Recall: 85.11%

Precision: 81.58%

Hmean: 83.31%

Sample: 22

ID: X00016469671

Recall: 56.10%

Precision: 55.56%

Hmean: 55.83%

Sample: 23

ID: X51005200931

Recall: 49.38%

Precision: 67.44%

Hmean: 57.02%

Sample: 24

ID: X51005230605

Recall: 77.27%

Precision: 78.79%

Hmean: 78.02%

Sample: 25

ID: X51005230616

Recall: 75.22%

Precision: 77.08%

Hmean: 76.14%

Sample: 26

ID: X51005230621

Recall: 62.59%

Precision: 76.89%

Hmean: 69.01%

Sample: 27

ID: X51005230648

Recall: 86.67%

Precision: 100.00%

Hmean: 92.86%

Sample: 28

ID: X51005230657

Recall: 77.19%

Precision: 97.37%

Hmean: 86.11%

Sample: 29

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 30

ID: X51005268275

Recall: 47.87%

Precision: 67.64%

Hmean: 56.06%

Sample: 31

ID: X51005268408

Recall: 84.21%

Precision: 100.00%

Hmean: 91.43%

Sample: 32

ID: X51005288570

Recall: 97.06%

Precision: 100.00%

Hmean: 98.51%

Sample: 33

ID: X51005301666

Recall: 47.87%

Precision: 65.82%

Hmean: 55.42%

Sample: 34

ID: X51005337867

Recall: 61.97%

Precision: 75.81%

Hmean: 68.19%

Sample: 35

ID: X51005337877

Recall: 88.68%

Precision: 95.45%

Hmean: 91.94%

Sample: 36

ID: X51005361906

Recall: 62.96%

Precision: 79.55%

Hmean: 70.29%

Sample: 37

ID: X51005361908

Recall: 19.67%

Precision: 68.75%

Hmean: 30.59%

Sample: 38

ID: X51005361912

Recall: 69.35%

Precision: 82.93%

Hmean: 75.54%

Sample: 39

ID: X51005361923

Recall: 90.91%

Precision: 96.30%

Hmean: 93.53%

Sample: 40

ID: X51005365187

Recall: 76.42%

Precision: 89.83%

Hmean: 82.58%