Sample: 1

ID: X00016469670

Recall: 94.59%

Precision: 94.59%

Hmean: 94.59%

Sample: 2

ID: X00016469671

Recall: 92.55%

Precision: 93.55%

Hmean: 93.05%

Sample: 3

ID: X51005200931

Recall: 89.33%

Precision: 82.72%

Hmean: 85.90%

Sample: 4

ID: X51005230605

Recall: 94.44%

Precision: 95.51%

Hmean: 94.97%

Sample: 5

ID: X51005230616

Recall: 95.45%

Precision: 95.45%

Hmean: 95.45%

Sample: 6

ID: X51005230621

Recall: 89.09%

Precision: 84.48%

Hmean: 86.73%

Sample: 7

ID: X51005230648

Recall: 95.37%

Precision: 91.96%

Hmean: 93.64%

Sample: 8

ID: X51005230657

Recall: 94.89%

Precision: 94.20%

Hmean: 94.55%

Sample: 9

ID: X51005230659

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 10

ID: X51005268275

Recall: 90.05%

Precision: 93.14%

Hmean: 91.57%

Sample: 11

ID: X51005268408

Recall: 95.10%

Precision: 95.10%

Hmean: 95.10%

Sample: 12

ID: X51005288570

Recall: 93.10%

Precision: 93.10%

Hmean: 93.10%

Sample: 13

ID: X51005301666

Recall: 94.76%

Precision: 96.60%

Hmean: 95.67%

Sample: 14

ID: X51005337867

Recall: 90.76%

Precision: 93.91%

Hmean: 92.31%

Sample: 15

ID: X51005337877

Recall: 95.15%

Precision: 96.08%

Hmean: 95.61%

Sample: 16

ID: X51005361906

Recall: 91.08%

Precision: 93.46%

Hmean: 92.26%

Sample: 17

ID: X51005361908

Recall: 87.18%

Precision: 91.89%

Hmean: 89.47%

Sample: 18

ID: X51005361912

Recall: 94.07%

Precision: 94.07%

Hmean: 94.07%

Sample: 19

ID: X51005361923

Recall: 88.00%

Precision: 88.00%

Hmean: 88.00%

Sample: 20

ID: X51005365187

Recall: 95.81%

Precision: 95.81%

Hmean: 95.81%