Sample: 21

ID: X00016469670

Recall: 53.19%

Precision: 51.06%

Hmean: 52.11%

Sample: 22

ID: X00016469671

Recall: 39.02%

Precision: 35.56%

Hmean: 37.21%

Sample: 23

ID: X51005200931

Recall: 79.01%

Precision: 72.73%

Hmean: 75.74%

Sample: 24

ID: X51005230605

Recall: 28.64%

Precision: 32.24%

Hmean: 30.33%

Sample: 25

ID: X51005230616

Recall: 54.35%

Precision: 51.02%

Hmean: 52.63%

Sample: 26

ID: X51005230621

Recall: 83.33%

Precision: 76.27%

Hmean: 79.65%

Sample: 27

ID: X51005230648

Recall: 81.78%

Precision: 79.11%

Hmean: 80.42%

Sample: 28

ID: X51005230657

Recall: 90.88%

Precision: 91.15%

Hmean: 91.02%

Sample: 29

ID: X51005230659

Recall: 81.11%

Precision: 74.04%

Hmean: 77.42%

Sample: 30

ID: X51005268275

Recall: 92.81%

Precision: 84.20%

Hmean: 88.30%

Sample: 31

ID: X51005268408

Recall: 97.37%

Precision: 97.37%

Hmean: 97.37%

Sample: 32

ID: X51005288570

Recall: 95.29%

Precision: 93.33%

Hmean: 94.30%

Sample: 33

ID: X51005301666

Recall: 88.31%

Precision: 80.20%

Hmean: 84.06%

Sample: 34

ID: X51005337867

Recall: 92.46%

Precision: 87.08%

Hmean: 89.69%

Sample: 35

ID: X51005337877

Recall: 86.79%

Precision: 78.95%

Hmean: 82.68%

Sample: 36

ID: X51005361906

Recall: 97.28%

Precision: 97.07%

Hmean: 97.18%

Sample: 37

ID: X51005361908

Recall: 93.44%

Precision: 86.36%

Hmean: 89.76%

Sample: 38

ID: X51005361912

Recall: 93.23%

Precision: 92.81%

Hmean: 93.02%

Sample: 39

ID: X51005361923

Recall: 99.39%

Precision: 93.33%

Hmean: 96.27%

Sample: 40

ID: X51005365187

Recall: 95.28%

Precision: 94.34%

Hmean: 94.81%