Sample: 1

ID: X00016469670

Recall: 87.39%

Precision: 85.09%

Hmean: 86.22%

Sample: 2

ID: X00016469671

Recall: 90.43%

Precision: 92.39%

Hmean: 91.40%

Sample: 3

ID: X51005200931

Recall: 88.67%

Precision: 78.24%

Hmean: 83.13%

Sample: 4

ID: X51005230605

Recall: 94.44%

Precision: 93.41%

Hmean: 93.92%

Sample: 5

ID: X51005230616

Recall: 97.73%

Precision: 96.99%

Hmean: 97.36%

Sample: 6

ID: X51005230621

Recall: 88.18%

Precision: 80.17%

Hmean: 83.98%

Sample: 7

ID: X51005230648

Recall: 87.96%

Precision: 84.07%

Hmean: 85.97%

Sample: 8

ID: X51005230657

Recall: 91.24%

Precision: 91.91%

Hmean: 91.58%

Sample: 9

ID: X51005230659

Recall: 88.89%

Precision: 92.31%

Hmean: 90.57%

Sample: 10

ID: X51005268275

Recall: 91.47%

Precision: 96.02%

Hmean: 93.69%

Sample: 11

ID: X51005268408

Recall: 93.14%

Precision: 93.14%

Hmean: 93.14%

Sample: 12

ID: X51005288570

Recall: 93.10%

Precision: 94.74%

Hmean: 93.91%

Sample: 13

ID: X51005301666

Recall: 92.86%

Precision: 97.01%

Hmean: 94.89%

Sample: 14

ID: X51005337867

Recall: 85.71%

Precision: 86.44%

Hmean: 86.08%

Sample: 15

ID: X51005337877

Recall: 96.12%

Precision: 96.12%

Hmean: 96.12%

Sample: 16

ID: X51005361906

Recall: 88.54%

Precision: 90.85%

Hmean: 89.68%

Sample: 17

ID: X51005361908

Recall: 76.92%

Precision: 81.08%

Hmean: 78.95%

Sample: 18

ID: X51005361912

Recall: 86.44%

Precision: 91.89%

Hmean: 89.08%

Sample: 19

ID: X51005361923

Recall: 94.67%

Precision: 93.42%

Hmean: 94.04%

Sample: 20

ID: X51005365187

Recall: 92.22%

Precision: 89.53%

Hmean: 90.86%