Sample: 1

ID: X00016469670

Recall: 73.87%

Precision: 73.21%

Hmean: 73.54%

Sample: 2

ID: X00016469671

Recall: 69.15%

Precision: 73.03%

Hmean: 71.04%

Sample: 3

ID: X51005200931

Recall: 74.67%

Precision: 74.17%

Hmean: 74.42%

Sample: 4

ID: X51005230605

Recall: 83.33%

Precision: 81.52%

Hmean: 82.42%

Sample: 5

ID: X51005230616

Recall: 87.12%

Precision: 81.56%

Hmean: 84.25%

Sample: 6

ID: X51005230621

Recall: 69.09%

Precision: 64.41%

Hmean: 66.67%

Sample: 7

ID: X51005230648

Recall: 71.30%

Precision: 71.30%

Hmean: 71.30%

Sample: 8

ID: X51005230657

Recall: 78.83%

Precision: 81.82%

Hmean: 80.30%

Sample: 9

ID: X51005230659

Recall: 72.84%

Precision: 71.95%

Hmean: 72.39%

Sample: 10

ID: X51005268275

Recall: 79.15%

Precision: 83.08%

Hmean: 81.07%

Sample: 11

ID: X51005268408

Recall: 83.33%

Precision: 77.98%

Hmean: 80.57%

Sample: 12

ID: X51005288570

Recall: 87.93%

Precision: 87.93%

Hmean: 87.93%

Sample: 13

ID: X51005301666

Recall: 77.62%

Precision: 80.30%

Hmean: 78.93%

Sample: 14

ID: X51005337867

Recall: 86.55%

Precision: 84.43%

Hmean: 85.48%

Sample: 15

ID: X51005337877

Recall: 81.55%

Precision: 81.55%

Hmean: 81.55%

Sample: 16

ID: X51005361906

Recall: 69.43%

Precision: 73.65%

Hmean: 71.48%

Sample: 17

ID: X51005361908

Recall: 63.25%

Precision: 64.91%

Hmean: 64.07%

Sample: 18

ID: X51005361912

Recall: 62.71%

Precision: 64.35%

Hmean: 63.52%

Sample: 19

ID: X51005361923

Recall: 78.67%

Precision: 72.84%

Hmean: 75.64%

Sample: 20

ID: X51005365187

Recall: 82.04%

Precision: 74.86%

Hmean: 78.29%