Sample: 1

ID: X00016469670

Recall: 86.38%

Precision: 83.75%

Hmean: 85.05%

Sample: 2

ID: X00016469671

Recall: 85.37%

Precision: 80.49%

Hmean: 82.86%

Sample: 3

ID: X51005200931

Recall: 90.12%

Precision: 83.72%

Hmean: 86.80%

Sample: 4

ID: X51005230605

Recall: 90.91%

Precision: 97.37%

Hmean: 94.03%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 93.75%

Hmean: 95.74%

Sample: 6

ID: X51005230621

Recall: 96.30%

Precision: 100.00%

Hmean: 98.11%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 100.00%

Hmean: 98.88%

Sample: 8

ID: X51005230657

Recall: 92.98%

Precision: 95.92%

Hmean: 94.43%

Sample: 9

ID: X51005230659

Recall: 91.67%

Precision: 94.12%

Hmean: 92.88%

Sample: 10

ID: X51005268275

Recall: 90.34%

Precision: 90.89%

Hmean: 90.61%

Sample: 11

ID: X51005268408

Recall: 92.11%

Precision: 94.44%

Hmean: 93.26%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 93.48%

Precision: 96.00%

Hmean: 94.72%

Sample: 14

ID: X51005337867

Recall: 90.16%

Precision: 90.74%

Hmean: 90.45%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 93.83%

Precision: 94.74%

Hmean: 94.28%

Sample: 17

ID: X51005361908

Recall: 96.72%

Precision: 93.22%

Hmean: 94.94%

Sample: 18

ID: X51005361912

Recall: 88.71%

Precision: 94.55%

Hmean: 91.53%

Sample: 19

ID: X51005361923

Recall: 96.97%

Precision: 84.21%

Hmean: 90.14%

Sample: 20

ID: X51005365187

Recall: 99.06%

Precision: 98.06%

Hmean: 98.55%