Sample: 1

ID: X00016469670

Recall: 87.23%

Precision: 86.96%

Hmean: 87.10%

Sample: 2

ID: X00016469671

Recall: 48.78%

Precision: 50.00%

Hmean: 49.38%

Sample: 3

ID: X51005200931

Recall: 69.14%

Precision: 65.12%

Hmean: 67.07%

Sample: 4

ID: X51005230605

Recall: 33.64%

Precision: 39.00%

Hmean: 36.12%

Sample: 5

ID: X51005230616

Recall: 65.22%

Precision: 63.83%

Hmean: 64.52%

Sample: 6

ID: X51005230621

Recall: 94.44%

Precision: 98.08%

Hmean: 96.23%

Sample: 7

ID: X51005230648

Recall: 95.56%

Precision: 100.00%

Hmean: 97.73%

Sample: 8

ID: X51005230657

Recall: 92.63%

Precision: 97.25%

Hmean: 94.89%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 100.00%

Hmean: 98.59%

Sample: 10

ID: X51005268275

Recall: 73.48%

Precision: 84.44%

Hmean: 78.58%

Sample: 11

ID: X51005268408

Recall: 89.47%

Precision: 89.47%

Hmean: 89.47%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 69.21%

Precision: 80.00%

Hmean: 74.22%

Sample: 14

ID: X51005337867

Recall: 88.52%

Precision: 96.23%

Hmean: 92.21%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 100.00%

Hmean: 99.05%

Sample: 16

ID: X51005361906

Recall: 86.17%

Precision: 96.71%

Hmean: 91.14%

Sample: 17

ID: X51005361908

Recall: 78.69%

Precision: 88.89%

Hmean: 83.48%

Sample: 18

ID: X51005361912

Recall: 73.87%

Precision: 84.73%

Hmean: 78.93%

Sample: 19

ID: X51005361923

Recall: 93.94%

Precision: 100.00%

Hmean: 96.88%

Sample: 20

ID: X51005365187

Recall: 93.40%

Precision: 97.96%

Hmean: 95.62%