Sample: 1

ID: X00016469670

Recall: 97.87%

Precision: 97.73%

Hmean: 97.80%

Sample: 2

ID: X00016469671

Recall: 97.56%

Precision: 97.37%

Hmean: 97.46%

Sample: 3

ID: X51005200931

Recall: 76.54%

Precision: 69.66%

Hmean: 72.94%

Sample: 4

ID: X51005230605

Recall: 65.00%

Precision: 65.65%

Hmean: 65.32%

Sample: 5

ID: X51005230616

Recall: 89.13%

Precision: 85.42%

Hmean: 87.23%

Sample: 6

ID: X51005230621

Recall: 98.15%

Precision: 96.36%

Hmean: 97.25%

Sample: 7

ID: X51005230648

Recall: 93.33%

Precision: 97.44%

Hmean: 95.34%

Sample: 8

ID: X51005230657

Recall: 98.25%

Precision: 97.96%

Hmean: 98.10%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 85.17%

Precision: 83.47%

Hmean: 84.31%

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: 89.44%

Precision: 87.14%

Hmean: 88.28%

Sample: 14

ID: X51005337867

Recall: 98.03%

Precision: 96.00%

Hmean: 97.01%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 82.72%

Precision: 89.23%

Hmean: 85.85%

Sample: 17

ID: X51005361908

Recall: 96.39%

Precision: 97.70%

Hmean: 97.04%

Sample: 18

ID: X51005361912

Recall: 90.32%

Precision: 96.55%

Hmean: 93.33%

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%