Sample: 1

ID: X00016469670

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 2

ID: X00016469671

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 3

ID: X51005200931

Recall: 95.06%

Precision: 95.06%

Hmean: 95.06%

Sample: 4

ID: X51005230605

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 5

ID: X51005230616

Recall: 97.83%

Precision: 97.83%

Hmean: 97.83%

Sample: 6

ID: X51005230621

Recall: 100.00%

Precision: 98.18%

Hmean: 99.08%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: X51005230657

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 98.88%

Precision: 97.75%

Hmean: 98.31%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 98.88%

Precision: 98.88%

Hmean: 98.88%

Sample: 14

ID: X51005337867

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 91.36%

Precision: 100.00%

Hmean: 95.48%

Sample: 17

ID: X51005361908

Recall: 93.44%

Precision: 100.00%

Hmean: 96.61%

Sample: 18

ID: X51005361912

Recall: 96.77%

Precision: 100.00%

Hmean: 98.36%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%