Sample: 1

ID: X00016469670

Recall: 93.62%

Precision: 95.24%

Hmean: 94.42%

Sample: 2

ID: X00016469671

Recall: 85.37%

Precision: 83.78%

Hmean: 84.57%

Sample: 3

ID: X51005200931

Recall: 81.48%

Precision: 81.48%

Hmean: 81.48%

Sample: 4

ID: X51005230605

Recall: 81.82%

Precision: 91.89%

Hmean: 86.56%

Sample: 5

ID: X51005230616

Recall: 95.65%

Precision: 93.62%

Hmean: 94.62%

Sample: 6

ID: X51005230621

Recall: 96.30%

Precision: 98.00%

Hmean: 97.14%

Sample: 7

ID: X51005230648

Recall: 93.33%

Precision: 100.00%

Hmean: 96.55%

Sample: 8

ID: X51005230657

Recall: 89.47%

Precision: 97.67%

Hmean: 93.39%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 80.45%

Precision: 97.53%

Hmean: 88.17%

Sample: 11

ID: X51005268408

Recall: 94.74%

Precision: 97.06%

Hmean: 95.88%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 81.57%

Precision: 98.90%

Hmean: 89.41%

Sample: 14

ID: X51005337867

Recall: 85.25%

Precision: 92.00%

Hmean: 88.49%

Sample: 15

ID: X51005337877

Recall: 96.23%

Precision: 97.83%

Hmean: 97.02%

Sample: 16

ID: X51005361906

Recall: 88.89%

Precision: 96.92%

Hmean: 92.73%

Sample: 17

ID: X51005361908

Recall: 88.52%

Precision: 96.30%

Hmean: 92.25%

Sample: 18

ID: X51005361912

Recall: 85.48%

Precision: 96.00%

Hmean: 90.44%

Sample: 19

ID: X51005361923

Recall: 93.94%

Precision: 100.00%

Hmean: 96.88%

Sample: 20

ID: X51005365187

Recall: 95.28%

Precision: 96.67%

Hmean: 95.97%