Sample: 1

ID: X00016469670

Recall: 81.98%

Precision: 87.50%

Hmean: 84.65%

Sample: 2

ID: X00016469671

Recall: 80.85%

Precision: 88.37%

Hmean: 84.44%

Sample: 3

ID: X51005200931

Recall: 73.33%

Precision: 75.86%

Hmean: 74.58%

Sample: 4

ID: X51005230605

Recall: 91.11%

Precision: 96.47%

Hmean: 93.71%

Sample: 5

ID: X51005230616

Recall: 87.12%

Precision: 92.74%

Hmean: 89.84%

Sample: 6

ID: X51005230621

Recall: 71.82%

Precision: 73.15%

Hmean: 72.48%

Sample: 7

ID: X51005230648

Recall: 79.63%

Precision: 86.87%

Hmean: 83.09%

Sample: 8

ID: X51005230657

Recall: 81.02%

Precision: 86.72%

Hmean: 83.77%

Sample: 9

ID: X51005230659

Recall: 80.25%

Precision: 86.67%

Hmean: 83.33%

Sample: 10

ID: X51005268275

Recall: 83.41%

Precision: 90.72%

Hmean: 86.91%

Sample: 11

ID: X51005268408

Recall: 75.49%

Precision: 80.21%

Hmean: 77.78%

Sample: 12

ID: X51005288570

Recall: 82.76%

Precision: 81.36%

Hmean: 82.05%

Sample: 13

ID: X51005301666

Recall: 86.19%

Precision: 91.41%

Hmean: 88.73%

Sample: 14

ID: X51005337867

Recall: 95.80%

Precision: 96.61%

Hmean: 96.20%

Sample: 15

ID: X51005337877

Recall: 92.23%

Precision: 95.00%

Hmean: 93.60%

Sample: 16

ID: X51005361906

Recall: 85.35%

Precision: 90.54%

Hmean: 87.87%

Sample: 17

ID: X51005361908

Recall: 80.34%

Precision: 90.38%

Hmean: 85.07%

Sample: 18

ID: X51005361912

Recall: 83.05%

Precision: 89.91%

Hmean: 86.34%

Sample: 19

ID: X51005361923

Recall: 85.33%

Precision: 92.75%

Hmean: 88.89%

Sample: 20

ID: X51005365187

Recall: 88.62%

Precision: 91.93%

Hmean: 90.24%