Sample: 1

ID: X00016469670

Recall: 94.59%

Precision: 94.59%

Hmean: 94.59%

Sample: 2

ID: X00016469671

Recall: 96.81%

Precision: 97.85%

Hmean: 97.33%

Sample: 3

ID: X51005200931

Recall: 94.67%

Precision: 90.45%

Hmean: 92.51%

Sample: 4

ID: X51005230605

Recall: 97.78%

Precision: 98.88%

Hmean: 98.32%

Sample: 5

ID: X51005230616

Recall: 99.24%

Precision: 99.24%

Hmean: 99.24%

Sample: 6

ID: X51005230621

Recall: 84.55%

Precision: 80.17%

Hmean: 82.30%

Sample: 7

ID: X51005230648

Recall: 97.22%

Precision: 98.13%

Hmean: 97.67%

Sample: 8

ID: X51005230657

Recall: 94.89%

Precision: 93.53%

Hmean: 94.20%

Sample: 9

ID: X51005230659

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 10

ID: X51005268275

Recall: 92.89%

Precision: 96.55%

Hmean: 94.69%

Sample: 11

ID: X51005268408

Recall: 93.14%

Precision: 93.14%

Hmean: 93.14%

Sample: 12

ID: X51005288570

Recall: 96.55%

Precision: 98.25%

Hmean: 97.39%

Sample: 13

ID: X51005301666

Recall: 96.67%

Precision: 98.54%

Hmean: 97.60%

Sample: 14

ID: X51005337867

Recall: 90.76%

Precision: 92.31%

Hmean: 91.53%

Sample: 15

ID: X51005337877

Recall: 95.15%

Precision: 97.03%

Hmean: 96.08%

Sample: 16

ID: X51005361906

Recall: 94.27%

Precision: 96.10%

Hmean: 95.18%

Sample: 17

ID: X51005361908

Recall: 87.18%

Precision: 91.89%

Hmean: 89.47%

Sample: 18

ID: X51005361912

Recall: 94.92%

Precision: 95.73%

Hmean: 95.32%

Sample: 19

ID: X51005361923

Recall: 92.00%

Precision: 93.24%

Hmean: 92.62%

Sample: 20

ID: X51005365187

Recall: 94.61%

Precision: 95.18%

Hmean: 94.89%