Sample: 1

ID: X00016469670

Recall: 90.09%

Precision: 91.74%

Hmean: 90.91%

Sample: 2

ID: X00016469671

Recall: 94.68%

Precision: 95.70%

Hmean: 95.19%

Sample: 3

ID: X51005200931

Recall: 87.33%

Precision: 78.44%

Hmean: 82.65%

Sample: 4

ID: X51005230605

Recall: 96.67%

Precision: 97.75%

Hmean: 97.21%

Sample: 5

ID: X51005230616

Recall: 98.48%

Precision: 97.74%

Hmean: 98.11%

Sample: 6

ID: X51005230621

Recall: 80.91%

Precision: 80.91%

Hmean: 80.91%

Sample: 7

ID: X51005230648

Recall: 88.89%

Precision: 89.72%

Hmean: 89.30%

Sample: 8

ID: X51005230657

Recall: 91.97%

Precision: 94.74%

Hmean: 93.33%

Sample: 9

ID: X51005230659

Recall: 91.36%

Precision: 93.67%

Hmean: 92.50%

Sample: 10

ID: X51005268275

Recall: 93.36%

Precision: 97.04%

Hmean: 95.17%

Sample: 11

ID: X51005268408

Recall: 95.10%

Precision: 95.10%

Hmean: 95.10%

Sample: 12

ID: X51005288570

Recall: 89.66%

Precision: 78.79%

Hmean: 83.87%

Sample: 13

ID: X51005301666

Recall: 94.76%

Precision: 98.03%

Hmean: 96.37%

Sample: 14

ID: X51005337867

Recall: 92.44%

Precision: 93.22%

Hmean: 92.83%

Sample: 15

ID: X51005337877

Recall: 95.15%

Precision: 96.08%

Hmean: 95.61%

Sample: 16

ID: X51005361906

Recall: 87.90%

Precision: 91.39%

Hmean: 89.61%

Sample: 17

ID: X51005361908

Recall: 82.91%

Precision: 92.38%

Hmean: 87.39%

Sample: 18

ID: X51005361912

Recall: 88.98%

Precision: 92.92%

Hmean: 90.91%

Sample: 19

ID: X51005361923

Recall: 97.33%

Precision: 98.65%

Hmean: 97.99%

Sample: 20

ID: X51005365187

Recall: 90.42%

Precision: 85.31%

Hmean: 87.79%