Sample: 1

ID: X00016469670

Recall: 95.50%

Precision: 95.50%

Hmean: 95.50%

Sample: 2

ID: X00016469671

Recall: 96.81%

Precision: 96.81%

Hmean: 96.81%

Sample: 3

ID: X51005200931

Recall: 93.33%

Precision: 87.50%

Hmean: 90.32%

Sample: 4

ID: X51005230605

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 5

ID: X51005230616

Recall: 98.48%

Precision: 98.48%

Hmean: 98.48%

Sample: 6

ID: X51005230621

Recall: 92.73%

Precision: 89.47%

Hmean: 91.07%

Sample: 7

ID: X51005230648

Recall: 98.15%

Precision: 96.36%

Hmean: 97.25%

Sample: 8

ID: X51005230657

Recall: 100.00%

Precision: 97.16%

Hmean: 98.56%

Sample: 9

ID: X51005230659

Recall: 98.77%

Precision: 98.77%

Hmean: 98.77%

Sample: 10

ID: X51005268275

Recall: 95.73%

Precision: 98.06%

Hmean: 96.88%

Sample: 11

ID: X51005268408

Recall: 97.06%

Precision: 98.02%

Hmean: 97.54%

Sample: 12

ID: X51005288570

Recall: 98.28%

Precision: 96.61%

Hmean: 97.44%

Sample: 13

ID: X51005301666

Recall: 96.67%

Precision: 98.54%

Hmean: 97.60%

Sample: 14

ID: X51005337867

Recall: 96.64%

Precision: 97.46%

Hmean: 97.05%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 98.73%

Precision: 99.36%

Hmean: 99.04%

Sample: 17

ID: X51005361908

Recall: 99.15%

Precision: 100.00%

Hmean: 99.57%

Sample: 18

ID: X51005361912

Recall: 98.31%

Precision: 98.31%

Hmean: 98.31%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 98.20%

Precision: 97.62%

Hmean: 97.91%