Sample: 1

ID: X00016469670

Recall: 90.99%

Precision: 90.18%

Hmean: 90.58%

Sample: 2

ID: X00016469671

Recall: 87.23%

Precision: 90.11%

Hmean: 88.65%

Sample: 3

ID: X51005200931

Recall: 85.33%

Precision: 78.05%

Hmean: 81.53%

Sample: 4

ID: X51005230605

Recall: 96.67%

Precision: 97.75%

Hmean: 97.21%

Sample: 5

ID: X51005230616

Recall: 96.97%

Precision: 95.52%

Hmean: 96.24%

Sample: 6

ID: X51005230621

Recall: 84.55%

Precision: 78.15%

Hmean: 81.22%

Sample: 7

ID: X51005230648

Recall: 97.22%

Precision: 94.59%

Hmean: 95.89%

Sample: 8

ID: X51005230657

Recall: 100.00%

Precision: 97.16%

Hmean: 98.56%

Sample: 9

ID: X51005230659

Recall: 97.53%

Precision: 97.53%

Hmean: 97.53%

Sample: 10

ID: X51005268275

Recall: 90.05%

Precision: 93.60%

Hmean: 91.79%

Sample: 11

ID: X51005268408

Recall: 86.27%

Precision: 86.27%

Hmean: 86.27%

Sample: 12

ID: X51005288570

Recall: 91.38%

Precision: 91.38%

Hmean: 91.38%

Sample: 13

ID: X51005301666

Recall: 93.81%

Precision: 96.10%

Hmean: 94.94%

Sample: 14

ID: X51005337867

Recall: 89.08%

Precision: 90.60%

Hmean: 89.83%

Sample: 15

ID: X51005337877

Recall: 96.12%

Precision: 97.06%

Hmean: 96.59%

Sample: 16

ID: X51005361906

Recall: 92.99%

Precision: 94.19%

Hmean: 93.59%

Sample: 17

ID: X51005361908

Recall: 88.03%

Precision: 91.15%

Hmean: 89.57%

Sample: 18

ID: X51005361912

Recall: 99.15%

Precision: 99.15%

Hmean: 99.15%

Sample: 19

ID: X51005361923

Recall: 93.33%

Precision: 90.91%

Hmean: 92.11%

Sample: 20

ID: X51005365187

Recall: 95.81%

Precision: 95.81%

Hmean: 95.81%