Sample: 1

ID: X00016469670

Recall: 90.09%

Precision: 87.72%

Hmean: 88.89%

Sample: 2

ID: X00016469671

Recall: 93.62%

Precision: 90.72%

Hmean: 92.15%

Sample: 3

ID: X51005200931

Recall: 88.67%

Precision: 80.61%

Hmean: 84.44%

Sample: 4

ID: X51005230605

Recall: 95.56%

Precision: 96.63%

Hmean: 96.09%

Sample: 5

ID: X51005230616

Recall: 97.73%

Precision: 97.73%

Hmean: 97.73%

Sample: 6

ID: X51005230621

Recall: 80.91%

Precision: 78.07%

Hmean: 79.46%

Sample: 7

ID: X51005230648

Recall: 93.52%

Precision: 91.82%

Hmean: 92.66%

Sample: 8

ID: X51005230657

Recall: 94.89%

Precision: 95.59%

Hmean: 95.24%

Sample: 9

ID: X51005230659

Recall: 93.83%

Precision: 97.44%

Hmean: 95.60%

Sample: 10

ID: X51005268275

Recall: 91.47%

Precision: 96.02%

Hmean: 93.69%

Sample: 11

ID: X51005268408

Recall: 89.22%

Precision: 89.22%

Hmean: 89.22%

Sample: 12

ID: X51005288570

Recall: 94.83%

Precision: 96.49%

Hmean: 95.65%

Sample: 13

ID: X51005301666

Recall: 94.29%

Precision: 98.51%

Hmean: 96.35%

Sample: 14

ID: X51005337867

Recall: 90.76%

Precision: 91.53%

Hmean: 91.14%

Sample: 15

ID: X51005337877

Recall: 91.26%

Precision: 94.95%

Hmean: 93.07%

Sample: 16

ID: X51005361906

Recall: 81.53%

Precision: 87.07%

Hmean: 84.21%

Sample: 17

ID: X51005361908

Recall: 76.92%

Precision: 83.33%

Hmean: 80.00%

Sample: 18

ID: X51005361912

Recall: 94.92%

Precision: 95.73%

Hmean: 95.32%

Sample: 19

ID: X51005361923

Recall: 88.00%

Precision: 86.84%

Hmean: 87.42%

Sample: 20

ID: X51005365187

Recall: 96.41%

Precision: 96.41%

Hmean: 96.41%