Sample: 1

ID: X00016469670

Recall: 93.62%

Precision: 97.73%

Hmean: 95.63%

Sample: 2

ID: X00016469671

Recall: 97.07%

Precision: 94.42%

Hmean: 95.73%

Sample: 3

ID: X51005200931

Recall: 88.64%

Precision: 82.30%

Hmean: 85.35%

Sample: 4

ID: X51005230605

Recall: 94.55%

Precision: 91.91%

Hmean: 93.21%

Sample: 5

ID: X51005230616

Recall: 99.13%

Precision: 90.77%

Hmean: 94.77%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 92.59%

Hmean: 92.59%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 95.35%

Hmean: 97.62%

Sample: 8

ID: X51005230657

Recall: 92.98%

Precision: 94.12%

Hmean: 93.55%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 94.61%

Precision: 95.21%

Hmean: 94.91%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 96.85%

Precision: 97.29%

Hmean: 97.07%

Sample: 14

ID: X51005337867

Recall: 99.02%

Precision: 95.69%

Hmean: 97.33%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 90.57%

Hmean: 94.19%

Sample: 16

ID: X51005361906

Recall: 95.06%

Precision: 97.44%

Hmean: 96.23%

Sample: 17

ID: X51005361908

Recall: 90.16%

Precision: 94.74%

Hmean: 92.39%

Sample: 18

ID: X51005361912

Recall: 91.61%

Precision: 89.84%

Hmean: 90.72%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 100.00%

Precision: 97.17%

Hmean: 98.56%