Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 95.65%

Hmean: 95.70%

Sample: 2

ID: X00016469671

Recall: 80.00%

Precision: 80.00%

Hmean: 80.00%

Sample: 3

ID: X51005200931

Recall: 81.48%

Precision: 80.49%

Hmean: 80.98%

Sample: 4

ID: X51005230605

Recall: 70.45%

Precision: 72.09%

Hmean: 71.26%

Sample: 5

ID: X51005230616

Recall: 95.65%

Precision: 93.62%

Hmean: 94.62%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 96.15%

Hmean: 94.34%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: X51005230657

Recall: 96.14%

Precision: 99.25%

Hmean: 97.67%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 97.14%

Hmean: 97.18%

Sample: 10

ID: X51005268275

Recall: 88.99%

Precision: 90.85%

Hmean: 89.91%

Sample: 11

ID: X51005268408

Recall: 95.79%

Precision: 94.63%

Hmean: 95.21%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 87.87%

Precision: 91.83%

Hmean: 89.80%

Sample: 14

ID: X51005337867

Recall: 97.70%

Precision: 97.00%

Hmean: 97.35%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 90.86%

Precision: 91.71%

Hmean: 91.28%

Sample: 17

ID: X51005361908

Recall: 91.80%

Precision: 93.33%

Hmean: 92.56%

Sample: 18

ID: X51005361912

Recall: 86.77%

Precision: 90.53%

Hmean: 88.61%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 97.17%

Precision: 97.09%

Hmean: 97.13%