Sample: 1

ID: X00016469670

Recall: 87.23%

Precision: 87.23%

Hmean: 87.23%

Sample: 2

ID: X00016469671

Recall: 34.15%

Precision: 34.15%

Hmean: 34.15%

Sample: 3

ID: X51005200931

Recall: 60.49%

Precision: 60.49%

Hmean: 60.49%

Sample: 4

ID: X51005230605

Recall: 22.73%

Precision: 22.73%

Hmean: 22.73%

Sample: 5

ID: X51005230616

Recall: 67.39%

Precision: 67.39%

Hmean: 67.39%

Sample: 6

ID: X51005230621

Recall: 96.30%

Precision: 96.30%

Hmean: 96.30%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 97.78%

Hmean: 97.78%

Sample: 8

ID: X51005230657

Recall: 96.14%

Precision: 97.54%

Hmean: 96.84%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 94.44%

Hmean: 95.81%

Sample: 10

ID: X51005268275

Recall: 97.75%

Precision: 97.75%

Hmean: 97.75%

Sample: 11

ID: X51005268408

Recall: 92.11%

Precision: 92.11%

Hmean: 92.11%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 87.42%

Precision: 88.31%

Hmean: 87.86%

Sample: 14

ID: X51005337867

Recall: 93.44%

Precision: 93.44%

Hmean: 93.44%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 98.11%

Hmean: 98.11%

Sample: 16

ID: X51005361906

Recall: 95.06%

Precision: 95.06%

Hmean: 95.06%

Sample: 17

ID: X51005361908

Recall: 88.52%

Precision: 88.52%

Hmean: 88.52%

Sample: 18

ID: X51005361912

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

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%