Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 95.65%

Hmean: 95.70%

Sample: 2

ID: X00016469671

Recall: 97.56%

Precision: 97.56%

Hmean: 97.56%

Sample: 3

ID: X51005200931

Recall: 96.05%

Precision: 95.85%

Hmean: 95.95%

Sample: 4

ID: X51005230605

Recall: 95.00%

Precision: 94.67%

Hmean: 94.83%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 93.75%

Hmean: 95.74%

Sample: 6

ID: X51005230621

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 100.00%

Hmean: 98.88%

Sample: 8

ID: X51005230657

Recall: 96.14%

Precision: 99.22%

Hmean: 97.65%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 92.58%

Precision: 92.77%

Hmean: 92.68%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 98.82%

Precision: 97.30%

Hmean: 98.05%

Sample: 13

ID: X51005301666

Recall: 94.83%

Precision: 96.60%

Hmean: 95.71%

Sample: 14

ID: X51005337867

Recall: 99.67%

Precision: 97.67%

Hmean: 98.66%

Sample: 15

ID: X51005337877

Recall: 94.34%

Precision: 94.23%

Hmean: 94.29%

Sample: 16

ID: X51005361906

Recall: 88.89%

Precision: 91.14%

Hmean: 90.00%

Sample: 17

ID: X51005361908

Recall: 91.80%

Precision: 90.16%

Hmean: 90.98%

Sample: 18

ID: X51005361912

Recall: 90.00%

Precision: 89.84%

Hmean: 89.92%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 97.06%

Hmean: 98.51%

Sample: 20

ID: X51005365187

Recall: 97.17%

Precision: 97.12%

Hmean: 97.14%