Sample: 1

ID: X00016469670

Recall: 96.40%

Precision: 95.54%

Hmean: 95.96%

Sample: 2

ID: X00016469671

Recall: 95.74%

Precision: 96.77%

Hmean: 96.26%

Sample: 3

ID: X51005200931

Recall: 90.67%

Precision: 84.47%

Hmean: 87.46%

Sample: 4

ID: X51005230605

Recall: 96.67%

Precision: 97.75%

Hmean: 97.21%

Sample: 5

ID: X51005230616

Recall: 98.48%

Precision: 98.48%

Hmean: 98.48%

Sample: 6

ID: X51005230621

Recall: 81.82%

Precision: 78.26%

Hmean: 80.00%

Sample: 7

ID: X51005230648

Recall: 95.37%

Precision: 95.37%

Hmean: 95.37%

Sample: 8

ID: X51005230657

Recall: 91.97%

Precision: 91.30%

Hmean: 91.64%

Sample: 9

ID: X51005230659

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 10

ID: X51005268275

Recall: 92.42%

Precision: 95.12%

Hmean: 93.75%

Sample: 11

ID: X51005268408

Recall: 91.18%

Precision: 91.18%

Hmean: 91.18%

Sample: 12

ID: X51005288570

Recall: 94.83%

Precision: 96.49%

Hmean: 95.65%

Sample: 13

ID: X51005301666

Recall: 95.24%

Precision: 97.09%

Hmean: 96.15%

Sample: 14

ID: X51005337867

Recall: 97.48%

Precision: 98.31%

Hmean: 97.89%

Sample: 15

ID: X51005337877

Recall: 97.09%

Precision: 98.04%

Hmean: 97.56%

Sample: 16

ID: X51005361906

Recall: 87.26%

Precision: 91.33%

Hmean: 89.25%

Sample: 17

ID: X51005361908

Recall: 84.62%

Precision: 86.84%

Hmean: 85.71%

Sample: 18

ID: X51005361912

Recall: 94.07%

Precision: 95.69%

Hmean: 94.87%

Sample: 19

ID: X51005361923

Recall: 94.67%

Precision: 94.67%

Hmean: 94.67%

Sample: 20

ID: X51005365187

Recall: 94.61%

Precision: 95.76%

Hmean: 95.18%