Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 95.65%

Hmean: 95.70%

Sample: 2

ID: X00016469671

Recall: 92.68%

Precision: 90.48%

Hmean: 91.57%

Sample: 3

ID: X51005200931

Recall: 86.42%

Precision: 83.33%

Hmean: 84.85%

Sample: 4

ID: X51005230605

Recall: 76.82%

Precision: 78.64%

Hmean: 77.72%

Sample: 5

ID: X51005230616

Recall: 93.04%

Precision: 88.98%

Hmean: 90.97%

Sample: 6

ID: X51005230621

Recall: 98.15%

Precision: 96.15%

Hmean: 97.14%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 97.67%

Hmean: 97.73%

Sample: 8

ID: X51005230657

Recall: 94.39%

Precision: 95.38%

Hmean: 94.88%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 95.96%

Precision: 93.81%

Hmean: 94.87%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 97.30%

Precision: 94.23%

Hmean: 95.74%

Sample: 14

ID: X51005337867

Recall: 98.03%

Precision: 97.54%

Hmean: 97.79%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 97.96%

Hmean: 98.04%

Sample: 16

ID: X51005361906

Recall: 97.28%

Precision: 97.07%

Hmean: 97.18%

Sample: 17

ID: X51005361908

Recall: 99.67%

Precision: 93.33%

Hmean: 96.40%

Sample: 18

ID: X51005361912

Recall: 93.55%

Precision: 95.08%

Hmean: 94.31%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 99.06%

Precision: 99.03%

Hmean: 99.04%