Sample: 1

ID: X00016469670

Recall: 70.21%

Precision: 68.29%

Hmean: 69.24%

Sample: 2

ID: X00016469671

Recall: 53.66%

Precision: 54.29%

Hmean: 53.97%

Sample: 3

ID: X51005200931

Recall: 53.09%

Precision: 64.29%

Hmean: 58.15%

Sample: 4

ID: X51005230605

Recall: 70.45%

Precision: 75.76%

Hmean: 73.01%

Sample: 5

ID: X51005230616

Recall: 71.74%

Precision: 70.21%

Hmean: 70.97%

Sample: 6

ID: X51005230621

Recall: 88.89%

Precision: 89.80%

Hmean: 89.34%

Sample: 7

ID: X51005230648

Recall: 84.44%

Precision: 94.12%

Hmean: 89.02%

Sample: 8

ID: X51005230657

Recall: 82.46%

Precision: 100.00%

Hmean: 90.38%

Sample: 9

ID: X51005230659

Recall: 94.44%

Precision: 93.10%

Hmean: 93.77%

Sample: 10

ID: X51005268275

Recall: 61.12%

Precision: 74.38%

Hmean: 67.10%

Sample: 11

ID: X51005268408

Recall: 84.21%

Precision: 100.00%

Hmean: 91.43%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 63.37%

Precision: 75.94%

Hmean: 69.09%

Sample: 14

ID: X51005337867

Recall: 78.69%

Precision: 82.98%

Hmean: 80.78%

Sample: 15

ID: X51005337877

Recall: 90.57%

Precision: 97.83%

Hmean: 94.06%

Sample: 16

ID: X51005361906

Recall: 74.07%

Precision: 85.42%

Hmean: 79.34%

Sample: 17

ID: X51005361908

Recall: 90.16%

Precision: 97.73%

Hmean: 93.79%

Sample: 18

ID: X51005361912

Recall: 65.81%

Precision: 79.11%

Hmean: 71.85%

Sample: 19

ID: X51005361923

Recall: 90.91%

Precision: 100.00%

Hmean: 95.24%

Sample: 20

ID: X51005365187

Recall: 88.68%

Precision: 95.89%

Hmean: 92.14%