Sample: 1

ID: 1

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 2

ID: 2

Recall: 90.00%

Precision: 100.00%

Hmean: 94.74%

Sample: 3

ID: 3

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 4

ID: 4

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 5

ID: 5

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 6

ID: 6

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 7

ID: 7

Recall: 100.00%

Precision: 50.00%

Hmean: 66.67%

Sample: 8

ID: 8

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 9

ID: 9

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: 10

Recall: 88.89%

Precision: 88.89%

Hmean: 88.89%

Sample: 11

ID: 11

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: 12

Recall: 66.67%

Precision: 100.00%

Hmean: 80.00%

Sample: 13

ID: 13

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 14

ID: 14

Recall: 80.00%

Precision: 100.00%

Hmean: 88.89%

Sample: 15

ID: 15

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: 16

Recall: 100.00%

Precision: 87.50%

Hmean: 93.33%

Sample: 17

ID: 17

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 18

ID: 18

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 19

ID: 19

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 20

ID: 20

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%