Sample: 1

ID: X00016469670

Recall: 94.59%

Precision: 95.45%

Hmean: 95.02%

Sample: 2

ID: X00016469671

Recall: 96.81%

Precision: 96.81%

Hmean: 96.81%

Sample: 3

ID: X51005200931

Recall: 90.00%

Precision: 83.33%

Hmean: 86.54%

Sample: 4

ID: X51005230605

Recall: 97.78%

Precision: 97.78%

Hmean: 97.78%

Sample: 5

ID: X51005230616

Recall: 98.48%

Precision: 97.01%

Hmean: 97.74%

Sample: 6

ID: X51005230621

Recall: 87.27%

Precision: 84.21%

Hmean: 85.71%

Sample: 7

ID: X51005230648

Recall: 94.44%

Precision: 92.73%

Hmean: 93.58%

Sample: 8

ID: X51005230657

Recall: 96.35%

Precision: 94.29%

Hmean: 95.31%

Sample: 9

ID: X51005230659

Recall: 97.53%

Precision: 97.53%

Hmean: 97.53%

Sample: 10

ID: X51005268275

Recall: 94.31%

Precision: 97.07%

Hmean: 95.67%

Sample: 11

ID: X51005268408

Recall: 97.06%

Precision: 97.06%

Hmean: 97.06%

Sample: 12

ID: X51005288570

Recall: 93.10%

Precision: 88.52%

Hmean: 90.76%

Sample: 13

ID: X51005301666

Recall: 97.62%

Precision: 99.51%

Hmean: 98.56%

Sample: 14

ID: X51005337867

Recall: 89.92%

Precision: 87.70%

Hmean: 88.80%

Sample: 15

ID: X51005337877

Recall: 99.03%

Precision: 100.00%

Hmean: 99.51%

Sample: 16

ID: X51005361906

Recall: 96.82%

Precision: 97.44%

Hmean: 97.12%

Sample: 17

ID: X51005361908

Recall: 95.73%

Precision: 95.73%

Hmean: 95.73%

Sample: 18

ID: X51005361912

Recall: 96.61%

Precision: 97.44%

Hmean: 97.02%

Sample: 19

ID: X51005361923

Recall: 93.33%

Precision: 92.11%

Hmean: 92.72%

Sample: 20

ID: X51005365187

Recall: 96.41%

Precision: 96.99%

Hmean: 96.70%