Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 95.65%

Hmean: 95.70%

Sample: 2

ID: X00016469671

Recall: 85.37%

Precision: 85.37%

Hmean: 85.37%

Sample: 3

ID: X51005200931

Recall: 75.06%

Precision: 71.63%

Hmean: 73.30%

Sample: 4

ID: X51005230605

Recall: 79.09%

Precision: 86.83%

Hmean: 82.78%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 93.75%

Hmean: 95.74%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 98.04%

Hmean: 95.24%

Sample: 7

ID: X51005230648

Recall: 88.89%

Precision: 100.00%

Hmean: 94.12%

Sample: 8

ID: X51005230657

Recall: 83.86%

Precision: 95.00%

Hmean: 89.08%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 100.00%

Hmean: 98.59%

Sample: 10

ID: X51005268275

Recall: 73.71%

Precision: 89.47%

Hmean: 80.83%

Sample: 11

ID: X51005268408

Recall: 97.37%

Precision: 100.00%

Hmean: 98.67%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 72.81%

Precision: 87.37%

Hmean: 79.43%

Sample: 14

ID: X51005337867

Recall: 73.77%

Precision: 91.30%

Hmean: 81.61%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 75.06%

Precision: 90.59%

Hmean: 82.10%

Sample: 17

ID: X51005361908

Recall: 77.05%

Precision: 93.75%

Hmean: 84.58%

Sample: 18

ID: X51005361912

Recall: 83.55%

Precision: 97.41%

Hmean: 89.95%

Sample: 19

ID: X51005361923

Recall: 78.79%

Precision: 86.67%

Hmean: 82.54%

Sample: 20

ID: X51005365187

Recall: 92.45%

Precision: 95.96%

Hmean: 94.17%