Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 97.67%

Hmean: 96.70%

Sample: 2

ID: X00016469671

Recall: 94.63%

Precision: 96.32%

Hmean: 95.47%

Sample: 3

ID: X51005200931

Recall: 82.72%

Precision: 81.71%

Hmean: 82.21%

Sample: 4

ID: X51005230605

Recall: 79.55%

Precision: 82.50%

Hmean: 81.00%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 97.83%

Hmean: 97.83%

Sample: 6

ID: X51005230621

Recall: 94.44%

Precision: 90.57%

Hmean: 92.46%

Sample: 7

ID: X51005230648

Recall: 88.89%

Precision: 92.50%

Hmean: 90.66%

Sample: 8

ID: X51005230657

Recall: 92.98%

Precision: 100.00%

Hmean: 96.36%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 82.92%

Precision: 87.32%

Hmean: 85.06%

Sample: 11

ID: X51005268408

Recall: 94.74%

Precision: 100.00%

Hmean: 97.30%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 88.54%

Precision: 94.63%

Hmean: 91.49%

Sample: 14

ID: X51005337867

Recall: 98.36%

Precision: 96.30%

Hmean: 97.32%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 93.83%

Precision: 82.95%

Hmean: 88.06%

Sample: 17

ID: X51005361908

Recall: 89.84%

Precision: 93.70%

Hmean: 91.73%

Sample: 18

ID: X51005361912

Recall: 90.32%

Precision: 88.14%

Hmean: 89.22%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 95.28%

Precision: 94.95%

Hmean: 95.12%