Sample: 1

ID: X00016469670

Recall: 92.79%

Precision: 93.64%

Hmean: 93.21%

Sample: 2

ID: X00016469671

Recall: 89.36%

Precision: 90.32%

Hmean: 89.84%

Sample: 3

ID: X51005200931

Recall: 89.33%

Precision: 80.72%

Hmean: 84.81%

Sample: 4

ID: X51005230605

Recall: 95.56%

Precision: 95.56%

Hmean: 95.56%

Sample: 5

ID: X51005230616

Recall: 97.73%

Precision: 98.47%

Hmean: 98.10%

Sample: 6

ID: X51005230621

Recall: 89.09%

Precision: 84.48%

Hmean: 86.73%

Sample: 7

ID: X51005230648

Recall: 84.26%

Precision: 90.10%

Hmean: 87.08%

Sample: 8

ID: X51005230657

Recall: 91.24%

Precision: 95.42%

Hmean: 93.28%

Sample: 9

ID: X51005230659

Recall: 90.12%

Precision: 93.59%

Hmean: 91.82%

Sample: 10

ID: X51005268275

Recall: 92.42%

Precision: 95.12%

Hmean: 93.75%

Sample: 11

ID: X51005268408

Recall: 93.14%

Precision: 94.06%

Hmean: 93.60%

Sample: 12

ID: X51005288570

Recall: 96.55%

Precision: 98.25%

Hmean: 97.39%

Sample: 13

ID: X51005301666

Recall: 95.24%

Precision: 97.56%

Hmean: 96.39%

Sample: 14

ID: X51005337867

Recall: 91.60%

Precision: 93.97%

Hmean: 92.77%

Sample: 15

ID: X51005337877

Recall: 98.06%

Precision: 99.02%

Hmean: 98.54%

Sample: 16

ID: X51005361906

Recall: 88.54%

Precision: 94.56%

Hmean: 91.45%

Sample: 17

ID: X51005361908

Recall: 91.45%

Precision: 92.24%

Hmean: 91.85%

Sample: 18

ID: X51005361912

Recall: 97.46%

Precision: 97.46%

Hmean: 97.46%

Sample: 19

ID: X51005361923

Recall: 96.00%

Precision: 97.30%

Hmean: 96.64%

Sample: 20

ID: X51005365187

Recall: 97.01%

Precision: 97.01%

Hmean: 97.01%