Sample: 1

ID: X00016469670

Recall: 78.72%

Precision: 78.72%

Hmean: 78.72%

Sample: 2

ID: X00016469671

Recall: 80.49%

Precision: 78.57%

Hmean: 79.52%

Sample: 3

ID: X51005200931

Recall: 86.42%

Precision: 80.46%

Hmean: 83.33%

Sample: 4

ID: X51005230605

Recall: 52.27%

Precision: 52.50%

Hmean: 52.39%

Sample: 5

ID: X51005230616

Recall: 52.17%

Precision: 48.98%

Hmean: 50.53%

Sample: 6

ID: X51005230621

Recall: 88.89%

Precision: 80.00%

Hmean: 84.21%

Sample: 7

ID: X51005230648

Recall: 84.44%

Precision: 83.72%

Hmean: 84.08%

Sample: 8

ID: X51005230657

Recall: 85.96%

Precision: 84.62%

Hmean: 85.28%

Sample: 9

ID: X51005230659

Recall: 86.11%

Precision: 83.33%

Hmean: 84.70%

Sample: 10

ID: X51005268275

Recall: 82.92%

Precision: 83.64%

Hmean: 83.28%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 85.29%

Precision: 85.29%

Hmean: 85.29%

Sample: 13

ID: X51005301666

Recall: 78.65%

Precision: 79.55%

Hmean: 79.10%

Sample: 14

ID: X51005337867

Recall: 96.72%

Precision: 91.80%

Hmean: 94.20%

Sample: 15

ID: X51005337877

Recall: 92.45%

Precision: 86.54%

Hmean: 89.40%

Sample: 16

ID: X51005361906

Recall: 96.05%

Precision: 92.47%

Hmean: 94.23%

Sample: 17

ID: X51005361908

Recall: 94.75%

Precision: 21.47%

Hmean: 35.00%

Sample: 18

ID: X51005361912

Recall: 88.71%

Precision: 93.22%

Hmean: 90.91%

Sample: 19

ID: X51005361923

Recall: 90.91%

Precision: 73.17%

Hmean: 81.08%

Sample: 20

ID: X51005365187

Recall: 92.45%

Precision: 92.38%

Hmean: 92.42%