Sample: 1

ID: X00016469670

Recall: 88.94%

Precision: 86.38%

Hmean: 87.64%

Sample: 2

ID: X00016469671

Recall: 58.05%

Precision: 58.57%

Hmean: 58.31%

Sample: 3

ID: X51005200931

Recall: 77.78%

Precision: 73.26%

Hmean: 75.45%

Sample: 4

ID: X51005230605

Recall: 76.82%

Precision: 78.64%

Hmean: 77.72%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 93.75%

Hmean: 95.74%

Sample: 6

ID: X51005230621

Recall: 96.30%

Precision: 92.73%

Hmean: 94.48%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 97.73%

Hmean: 97.75%

Sample: 8

ID: X51005230657

Recall: 97.89%

Precision: 99.23%

Hmean: 98.56%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 97.14%

Hmean: 97.18%

Sample: 10

ID: X51005268275

Recall: 98.20%

Precision: 98.67%

Hmean: 98.43%

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: 94.83%

Precision: 95.33%

Hmean: 95.08%

Sample: 14

ID: X51005337867

Recall: 97.70%

Precision: 93.97%

Hmean: 95.80%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 98.00%

Hmean: 98.99%

Sample: 16

ID: X51005361906

Recall: 95.06%

Precision: 97.47%

Hmean: 96.25%

Sample: 17

ID: X51005361908

Recall: 89.18%

Precision: 93.11%

Hmean: 91.11%

Sample: 18

ID: X51005361912

Recall: 93.55%

Precision: 96.67%

Hmean: 95.08%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%