Sample: 1

ID: X00016469670

Recall: 95.74%

Precision: 97.73%

Hmean: 96.73%

Sample: 2

ID: X00016469671

Recall: 97.56%

Precision: 100.00%

Hmean: 98.77%

Sample: 3

ID: X51005200931

Recall: 86.17%

Precision: 82.09%

Hmean: 84.08%

Sample: 4

ID: X51005230605

Recall: 85.45%

Precision: 87.11%

Hmean: 86.27%

Sample: 5

ID: X51005230616

Recall: 97.39%

Precision: 91.20%

Hmean: 94.19%

Sample: 6

ID: X51005230621

Recall: 77.41%

Precision: 77.45%

Hmean: 77.43%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: X51005230657

Recall: 96.14%

Precision: 97.31%

Hmean: 96.72%

Sample: 9

ID: X51005230659

Recall: 98.89%

Precision: 97.84%

Hmean: 98.36%

Sample: 10

ID: X51005268275

Recall: 90.11%

Precision: 90.21%

Hmean: 90.16%

Sample: 11

ID: X51005268408

Recall: 99.47%

Precision: 96.50%

Hmean: 97.96%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 92.36%

Precision: 94.26%

Hmean: 93.30%

Sample: 14

ID: X51005337867

Recall: 98.03%

Precision: 95.00%

Hmean: 96.49%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 97.96%

Hmean: 98.04%

Sample: 16

ID: X51005361906

Recall: 97.28%

Precision: 93.57%

Hmean: 95.39%

Sample: 17

ID: X51005361908

Recall: 93.11%

Precision: 88.44%

Hmean: 90.72%

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: 98.08%

Hmean: 98.56%