Sample: 1

ID: X00016469670

Recall: 82.98%

Precision: 77.08%

Hmean: 79.92%

Sample: 2

ID: X00016469671

Recall: 65.37%

Precision: 67.32%

Hmean: 66.33%

Sample: 3

ID: X51005200931

Recall: 72.35%

Precision: 71.67%

Hmean: 72.00%

Sample: 4

ID: X51005230605

Recall: 45.45%

Precision: 44.19%

Hmean: 44.81%

Sample: 5

ID: X51005230616

Recall: 86.96%

Precision: 83.33%

Hmean: 85.11%

Sample: 6

ID: X51005230621

Recall: 79.63%

Precision: 75.44%

Hmean: 77.48%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 95.00%

Hmean: 96.37%

Sample: 8

ID: X51005230657

Recall: 92.98%

Precision: 96.00%

Hmean: 94.47%

Sample: 9

ID: X51005230659

Recall: 88.89%

Precision: 88.57%

Hmean: 88.73%

Sample: 10

ID: X51005268275

Recall: 82.47%

Precision: 85.41%

Hmean: 83.92%

Sample: 11

ID: X51005268408

Recall: 89.47%

Precision: 89.19%

Hmean: 89.33%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 76.63%

Precision: 80.24%

Hmean: 78.39%

Sample: 14

ID: X51005337867

Recall: 86.56%

Precision: 89.62%

Hmean: 88.06%

Sample: 15

ID: X51005337877

Recall: 94.34%

Precision: 92.45%

Hmean: 93.39%

Sample: 16

ID: X51005361906

Recall: 82.47%

Precision: 87.30%

Hmean: 84.81%

Sample: 17

ID: X51005361908

Recall: 86.56%

Precision: 87.46%

Hmean: 87.01%

Sample: 18

ID: X51005361912

Recall: 85.16%

Precision: 90.36%

Hmean: 87.68%

Sample: 19

ID: X51005361923

Recall: 60.61%

Precision: 45.45%

Hmean: 51.95%

Sample: 20

ID: X51005365187

Recall: 95.28%

Precision: 94.29%

Hmean: 94.78%