Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 97.83%

Hmean: 96.77%

Sample: 2

ID: X00016469671

Recall: 97.56%

Precision: 95.12%

Hmean: 96.33%

Sample: 3

ID: X51005200931

Recall: 93.58%

Precision: 87.05%

Hmean: 90.19%

Sample: 4

ID: X51005230605

Recall: 97.27%

Precision: 96.89%

Hmean: 97.08%

Sample: 5

ID: X51005230616

Recall: 100.00%

Precision: 97.87%

Hmean: 98.92%

Sample: 6

ID: X51005230621

Recall: 100.00%

Precision: 96.43%

Hmean: 98.18%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: X51005230657

Recall: 97.89%

Precision: 99.23%

Hmean: 98.56%

Sample: 9

ID: X51005230659

Recall: 98.89%

Precision: 97.84%

Hmean: 98.36%

Sample: 10

ID: X51005268275

Recall: 95.51%

Precision: 95.48%

Hmean: 95.49%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 98.82%

Precision: 97.30%

Hmean: 98.05%

Sample: 13

ID: X51005301666

Recall: 94.16%

Precision: 96.13%

Hmean: 95.13%

Sample: 14

ID: X51005337867

Recall: 99.34%

Precision: 98.67%

Hmean: 99.00%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 100.00%

Hmean: 99.05%

Sample: 16

ID: X51005361906

Recall: 98.77%

Precision: 98.77%

Hmean: 98.77%

Sample: 17

ID: X51005361908

Recall: 100.00%

Precision: 98.39%

Hmean: 99.19%

Sample: 18

ID: X51005361912

Recall: 99.68%

Precision: 99.37%

Hmean: 99.52%

Sample: 19

ID: X51005361923

Recall: 95.76%

Precision: 97.65%

Hmean: 96.69%

Sample: 20

ID: X51005365187

Recall: 99.06%

Precision: 99.03%

Hmean: 99.04%