Sample: 1

ID: X00016469670

Recall: 97.87%

Precision: 93.62%

Hmean: 95.70%

Sample: 2

ID: X00016469671

Recall: 95.12%

Precision: 95.12%

Hmean: 95.12%

Sample: 3

ID: X51005200931

Recall: 88.89%

Precision: 84.71%

Hmean: 86.75%

Sample: 4

ID: X51005230605

Recall: 79.09%

Precision: 80.91%

Hmean: 79.99%

Sample: 5

ID: X51005230616

Recall: 95.65%

Precision: 91.67%

Hmean: 93.62%

Sample: 6

ID: X51005230621

Recall: 94.44%

Precision: 92.73%

Hmean: 93.58%

Sample: 7

ID: X51005230648

Recall: 94.67%

Precision: 95.91%

Hmean: 95.28%

Sample: 8

ID: X51005230657

Recall: 96.49%

Precision: 96.00%

Hmean: 96.24%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 86.74%

Precision: 87.20%

Hmean: 86.97%

Sample: 11

ID: X51005268408

Recall: 98.42%

Precision: 96.67%

Hmean: 97.54%

Sample: 12

ID: X51005288570

Recall: 98.82%

Precision: 97.78%

Hmean: 98.30%

Sample: 13

ID: X51005301666

Recall: 91.24%

Precision: 92.20%

Hmean: 91.72%

Sample: 14

ID: X51005337867

Recall: 99.34%

Precision: 98.67%

Hmean: 99.00%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 93.83%

Precision: 97.44%

Hmean: 95.60%

Sample: 17

ID: X51005361908

Recall: 96.72%

Precision: 95.16%

Hmean: 95.93%

Sample: 18

ID: X51005361912

Recall: 90.32%

Precision: 93.33%

Hmean: 91.80%

Sample: 19

ID: X51005361923

Recall: 98.79%

Precision: 96.32%

Hmean: 97.54%

Sample: 20

ID: X51005365187

Recall: 98.11%

Precision: 98.04%

Hmean: 98.08%