Sample: 1

ID: X00016469670

Recall: 94.59%

Precision: 93.75%

Hmean: 94.17%

Sample: 2

ID: X00016469671

Recall: 89.36%

Precision: 91.30%

Hmean: 90.32%

Sample: 3

ID: X51005200931

Recall: 88.00%

Precision: 77.65%

Hmean: 82.50%

Sample: 4

ID: X51005230605

Recall: 92.22%

Precision: 94.32%

Hmean: 93.26%

Sample: 5

ID: X51005230616

Recall: 98.48%

Precision: 98.48%

Hmean: 98.48%

Sample: 6

ID: X51005230621

Recall: 80.00%

Precision: 72.73%

Hmean: 76.19%

Sample: 7

ID: X51005230648

Recall: 93.52%

Precision: 92.66%

Hmean: 93.09%

Sample: 8

ID: X51005230657

Recall: 99.27%

Precision: 99.27%

Hmean: 99.27%

Sample: 9

ID: X51005230659

Recall: 85.19%

Precision: 92.00%

Hmean: 88.46%

Sample: 10

ID: X51005268275

Recall: 91.47%

Precision: 80.42%

Hmean: 85.59%

Sample: 11

ID: X51005268408

Recall: 93.14%

Precision: 93.14%

Hmean: 93.14%

Sample: 12

ID: X51005288570

Recall: 96.55%

Precision: 93.33%

Hmean: 94.92%

Sample: 13

ID: X51005301666

Recall: 90.48%

Precision: 97.44%

Hmean: 93.83%

Sample: 14

ID: X51005337867

Recall: 94.12%

Precision: 95.73%

Hmean: 94.92%

Sample: 15

ID: X51005337877

Recall: 96.12%

Precision: 98.02%

Hmean: 97.06%

Sample: 16

ID: X51005361906

Recall: 95.54%

Precision: 97.40%

Hmean: 96.46%

Sample: 17

ID: X51005361908

Recall: 95.73%

Precision: 96.55%

Hmean: 96.14%

Sample: 18

ID: X51005361912

Recall: 96.61%

Precision: 98.28%

Hmean: 97.44%

Sample: 19

ID: X51005361923

Recall: 82.67%

Precision: 92.54%

Hmean: 87.32%

Sample: 20

ID: X51005365187

Recall: 91.02%

Precision: 88.37%

Hmean: 89.68%