Sample: 1

ID: X00016469670

Recall: 93.62%

Precision: 93.62%

Hmean: 93.62%

Sample: 2

ID: X00016469671

Recall: 89.76%

Precision: 94.00%

Hmean: 91.83%

Sample: 3

ID: X51005200931

Recall: 91.11%

Precision: 84.77%

Hmean: 87.83%

Sample: 4

ID: X51005230605

Recall: 93.18%

Precision: 95.00%

Hmean: 94.08%

Sample: 5

ID: X51005230616

Recall: 84.35%

Precision: 84.26%

Hmean: 84.30%

Sample: 6

ID: X51005230621

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 7

ID: X51005230648

Recall: 93.33%

Precision: 97.62%

Hmean: 95.43%

Sample: 8

ID: X51005230657

Recall: 97.89%

Precision: 99.29%

Hmean: 98.59%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 90.56%

Precision: 91.81%

Hmean: 91.18%

Sample: 11

ID: X51005268408

Recall: 81.58%

Precision: 81.58%

Hmean: 81.58%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 78.65%

Precision: 78.65%

Hmean: 78.65%

Sample: 14

ID: X51005337867

Recall: 98.03%

Precision: 97.63%

Hmean: 97.83%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 100.00%

Hmean: 99.05%

Sample: 16

ID: X51005361906

Recall: 97.53%

Precision: 98.75%

Hmean: 98.14%

Sample: 17

ID: X51005361908

Recall: 98.36%

Precision: 98.36%

Hmean: 98.36%

Sample: 18

ID: X51005361912

Recall: 90.32%

Precision: 93.33%

Hmean: 91.80%

Sample: 19

ID: X51005361923

Recall: 81.82%

Precision: 96.43%

Hmean: 88.52%

Sample: 20

ID: X51005365187

Recall: 98.49%

Precision: 97.94%

Hmean: 98.22%