Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 95.74%

Hmean: 95.74%

Sample: 2

ID: X00016469671

Recall: 95.12%

Precision: 95.12%

Hmean: 95.12%

Sample: 3

ID: X51005200931

Recall: 93.83%

Precision: 92.68%

Hmean: 93.25%

Sample: 4

ID: X51005230605

Recall: 96.82%

Precision: 96.09%

Hmean: 96.45%

Sample: 5

ID: X51005230616

Recall: 97.39%

Precision: 95.00%

Hmean: 96.18%

Sample: 6

ID: X51005230621

Recall: 98.15%

Precision: 100.00%

Hmean: 99.07%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: X51005230657

Recall: 95.79%

Precision: 98.49%

Hmean: 97.12%

Sample: 9

ID: X51005230659

Recall: 99.44%

Precision: 98.89%

Hmean: 99.17%

Sample: 10

ID: X51005268275

Recall: 93.93%

Precision: 94.85%

Hmean: 94.39%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 98.82%

Precision: 97.78%

Hmean: 98.30%

Sample: 13

ID: X51005301666

Recall: 93.93%

Precision: 95.67%

Hmean: 94.79%

Sample: 14

ID: X51005337867

Recall: 96.39%

Precision: 94.52%

Hmean: 95.45%

Sample: 15

ID: X51005337877

Recall: 96.23%

Precision: 96.23%

Hmean: 96.23%

Sample: 16

ID: X51005361906

Recall: 97.28%

Precision: 97.07%

Hmean: 97.18%

Sample: 17

ID: X51005361908

Recall: 96.07%

Precision: 95.48%

Hmean: 95.77%

Sample: 18

ID: X51005361912

Recall: 91.29%

Precision: 92.26%

Hmean: 91.77%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%