Sample: 1

ID: X00016469670

Recall: 74.47%

Precision: 76.09%

Hmean: 75.27%

Sample: 2

ID: X00016469671

Recall: 41.46%

Precision: 41.46%

Hmean: 41.46%

Sample: 3

ID: X51005200931

Recall: 69.14%

Precision: 64.37%

Hmean: 66.67%

Sample: 4

ID: X51005230605

Recall: 45.00%

Precision: 45.58%

Hmean: 45.29%

Sample: 5

ID: X51005230616

Recall: 76.09%

Precision: 72.92%

Hmean: 74.47%

Sample: 6

ID: X51005230621

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 7

ID: X51005230648

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: X51005230657

Recall: 97.89%

Precision: 99.27%

Hmean: 98.58%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 97.14%

Hmean: 97.18%

Sample: 10

ID: X51005268275

Recall: 95.06%

Precision: 89.48%

Hmean: 92.19%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 99.41%

Precision: 98.86%

Hmean: 99.13%

Sample: 13

ID: X51005301666

Recall: 95.28%

Precision: 89.90%

Hmean: 92.51%

Sample: 14

ID: X51005337867

Recall: 98.36%

Precision: 96.61%

Hmean: 97.48%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 98.04%

Hmean: 98.08%

Sample: 16

ID: X51005361906

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 17

ID: X51005361908

Recall: 89.84%

Precision: 86.88%

Hmean: 88.33%

Sample: 18

ID: X51005361912

Recall: 96.77%

Precision: 96.77%

Hmean: 96.77%

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%