Sample: 1

ID: X00016469670

Recall: 93.62%

Precision: 93.62%

Hmean: 93.62%

Sample: 2

ID: X00016469671

Recall: 85.37%

Precision: 85.37%

Hmean: 85.37%

Sample: 3

ID: X51005200931

Recall: 82.47%

Precision: 76.82%

Hmean: 79.54%

Sample: 4

ID: X51005230605

Recall: 77.27%

Precision: 77.27%

Hmean: 77.27%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 93.75%

Hmean: 95.74%

Sample: 6

ID: X51005230621

Recall: 96.30%

Precision: 96.23%

Hmean: 96.26%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

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: 95.06%

Precision: 96.78%

Hmean: 95.91%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 99.41%

Precision: 97.84%

Hmean: 98.62%

Sample: 13

ID: X51005301666

Recall: 97.30%

Precision: 97.93%

Hmean: 97.62%

Sample: 14

ID: X51005337867

Recall: 98.36%

Precision: 98.28%

Hmean: 98.32%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 98.00%

Hmean: 98.99%

Sample: 16

ID: X51005361906

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 17

ID: X51005361908

Recall: 98.36%

Precision: 98.36%

Hmean: 98.36%

Sample: 18

ID: X51005361912

Recall: 95.16%

Precision: 96.72%

Hmean: 95.93%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 97.17%

Precision: 97.09%

Hmean: 97.13%