Sample: 1

ID: X00016469670

Recall: 92.79%

Precision: 93.64%

Hmean: 93.21%

Sample: 2

ID: X00016469671

Recall: 94.68%

Precision: 94.68%

Hmean: 94.68%

Sample: 3

ID: X51005200931

Recall: 86.00%

Precision: 79.63%

Hmean: 82.69%

Sample: 4

ID: X51005230605

Recall: 93.33%

Precision: 93.33%

Hmean: 93.33%

Sample: 5

ID: X51005230616

Recall: 96.97%

Precision: 95.52%

Hmean: 96.24%

Sample: 6

ID: X51005230621

Recall: 79.09%

Precision: 75.65%

Hmean: 77.33%

Sample: 7

ID: X51005230648

Recall: 92.59%

Precision: 90.91%

Hmean: 91.74%

Sample: 8

ID: X51005230657

Recall: 92.70%

Precision: 91.37%

Hmean: 92.03%

Sample: 9

ID: X51005230659

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 10

ID: X51005268275

Recall: 92.89%

Precision: 95.61%

Hmean: 94.23%

Sample: 11

ID: X51005268408

Recall: 95.10%

Precision: 95.10%

Hmean: 95.10%

Sample: 12

ID: X51005288570

Recall: 93.10%

Precision: 88.52%

Hmean: 90.76%

Sample: 13

ID: X51005301666

Recall: 96.67%

Precision: 98.54%

Hmean: 97.60%

Sample: 14

ID: X51005337867

Recall: 91.60%

Precision: 89.34%

Hmean: 90.46%

Sample: 15

ID: X51005337877

Recall: 97.09%

Precision: 98.04%

Hmean: 97.56%

Sample: 16

ID: X51005361906

Recall: 92.99%

Precision: 93.59%

Hmean: 93.29%

Sample: 17

ID: X51005361908

Recall: 90.60%

Precision: 89.83%

Hmean: 90.21%

Sample: 18

ID: X51005361912

Recall: 94.92%

Precision: 95.73%

Hmean: 95.32%

Sample: 19

ID: X51005361923

Recall: 90.67%

Precision: 89.47%

Hmean: 90.07%

Sample: 20

ID: X51005365187

Recall: 95.21%

Precision: 95.78%

Hmean: 95.50%