Sample: 1

ID: X00016469670

Recall: 97.30%

Precision: 96.43%

Hmean: 96.86%

Sample: 2

ID: X00016469671

Recall: 96.81%

Precision: 97.85%

Hmean: 97.33%

Sample: 3

ID: X51005200931

Recall: 86.00%

Precision: 83.23%

Hmean: 84.59%

Sample: 4

ID: X51005230605

Recall: 98.89%

Precision: 98.89%

Hmean: 98.89%

Sample: 5

ID: X51005230616

Recall: 96.21%

Precision: 96.21%

Hmean: 96.21%

Sample: 6

ID: X51005230621

Recall: 87.27%

Precision: 85.71%

Hmean: 86.49%

Sample: 7

ID: X51005230648

Recall: 96.30%

Precision: 93.69%

Hmean: 94.98%

Sample: 8

ID: X51005230657

Recall: 96.35%

Precision: 95.65%

Hmean: 96.00%

Sample: 9

ID: X51005230659

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 10

ID: X51005268275

Recall: 91.00%

Precision: 94.12%

Hmean: 92.53%

Sample: 11

ID: X51005268408

Recall: 97.06%

Precision: 97.06%

Hmean: 97.06%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 93.81%

Precision: 95.17%

Hmean: 94.48%

Sample: 14

ID: X51005337867

Recall: 94.12%

Precision: 98.25%

Hmean: 96.14%

Sample: 15

ID: X51005337877

Recall: 97.09%

Precision: 98.04%

Hmean: 97.56%

Sample: 16

ID: X51005361906

Recall: 98.73%

Precision: 99.36%

Hmean: 99.04%

Sample: 17

ID: X51005361908

Recall: 95.73%

Precision: 96.55%

Hmean: 96.14%

Sample: 18

ID: X51005361912

Recall: 99.15%

Precision: 99.15%

Hmean: 99.15%

Sample: 19

ID: X51005361923

Recall: 92.00%

Precision: 93.24%

Hmean: 92.62%

Sample: 20

ID: X51005365187

Recall: 97.01%

Precision: 97.01%

Hmean: 97.01%