Sample: 1

ID: X00016469670

Recall: 98.20%

Precision: 98.20%

Hmean: 98.20%

Sample: 2

ID: X00016469671

Recall: 95.74%

Precision: 95.74%

Hmean: 95.74%

Sample: 3

ID: X51005200931

Recall: 96.67%

Precision: 96.67%

Hmean: 96.67%

Sample: 4

ID: X51005230605

Recall: 98.89%

Precision: 98.89%

Hmean: 98.89%

Sample: 5

ID: X51005230616

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 6

ID: X51005230621

Recall: 88.18%

Precision: 88.18%

Hmean: 88.18%

Sample: 7

ID: X51005230648

Recall: 99.07%

Precision: 99.07%

Hmean: 99.07%

Sample: 8

ID: X51005230657

Recall: 98.54%

Precision: 98.54%

Hmean: 98.54%

Sample: 9

ID: X51005230659

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 10

ID: X51005268275

Recall: 97.16%

Precision: 98.56%

Hmean: 97.85%

Sample: 11

ID: X51005268408

Recall: 95.10%

Precision: 95.10%

Hmean: 95.10%

Sample: 12

ID: X51005288570

Recall: 96.55%

Precision: 96.55%

Hmean: 96.55%

Sample: 13

ID: X51005301666

Recall: 96.67%

Precision: 98.54%

Hmean: 97.60%

Sample: 14

ID: X51005337867

Recall: 92.44%

Precision: 92.44%

Hmean: 92.44%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 94.90%

Precision: 94.90%

Hmean: 94.90%

Sample: 17

ID: X51005361908

Recall: 97.44%

Precision: 96.61%

Hmean: 97.02%

Sample: 18

ID: X51005361912

Recall: 97.46%

Precision: 97.46%

Hmean: 97.46%

Sample: 19

ID: X51005361923

Recall: 97.33%

Precision: 97.33%

Hmean: 97.33%

Sample: 20

ID: X51005365187

Recall: 97.01%

Precision: 97.01%

Hmean: 97.01%