Sample: 1

ID: X00016469670

Recall: 90.99%

Precision: 90.18%

Hmean: 90.58%

Sample: 2

ID: X00016469671

Recall: 90.43%

Precision: 92.39%

Hmean: 91.40%

Sample: 3

ID: X51005200931

Recall: 84.00%

Precision: 77.30%

Hmean: 80.51%

Sample: 4

ID: X51005230605

Recall: 94.44%

Precision: 95.51%

Hmean: 94.97%

Sample: 5

ID: X51005230616

Recall: 96.97%

Precision: 96.97%

Hmean: 96.97%

Sample: 6

ID: X51005230621

Recall: 82.73%

Precision: 78.45%

Hmean: 80.53%

Sample: 7

ID: X51005230648

Recall: 91.67%

Precision: 90.00%

Hmean: 90.83%

Sample: 8

ID: X51005230657

Recall: 94.16%

Precision: 92.14%

Hmean: 93.14%

Sample: 9

ID: X51005230659

Recall: 88.89%

Precision: 84.71%

Hmean: 86.75%

Sample: 10

ID: X51005268275

Recall: 89.10%

Precision: 92.61%

Hmean: 90.82%

Sample: 11

ID: X51005268408

Recall: 91.18%

Precision: 91.18%

Hmean: 91.18%

Sample: 12

ID: X51005288570

Recall: 87.93%

Precision: 85.00%

Hmean: 86.44%

Sample: 13

ID: X51005301666

Recall: 93.81%

Precision: 95.63%

Hmean: 94.71%

Sample: 14

ID: X51005337867

Recall: 89.92%

Precision: 90.68%

Hmean: 90.30%

Sample: 15

ID: X51005337877

Recall: 95.15%

Precision: 96.08%

Hmean: 95.61%

Sample: 16

ID: X51005361906

Recall: 97.45%

Precision: 98.08%

Hmean: 97.76%

Sample: 17

ID: X51005361908

Recall: 96.58%

Precision: 98.26%

Hmean: 97.41%

Sample: 18

ID: X51005361912

Recall: 96.61%

Precision: 97.44%

Hmean: 97.02%

Sample: 19

ID: X51005361923

Recall: 85.33%

Precision: 82.05%

Hmean: 83.66%

Sample: 20

ID: X51005365187

Recall: 92.81%

Precision: 93.37%

Hmean: 93.09%