Sample: 21

ID: 1

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%

Sample: 22

ID: 2

Recall: 50.00%

Precision: 55.56%

Hmean: 52.63%

Sample: 23

ID: 3

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%

Sample: 24

ID: 4

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 25

ID: 5

Recall: 100.00%

Precision: 83.33%

Hmean: 90.91%

Sample: 26

ID: 6

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%

Sample: 27

ID: 7

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 28

ID: 8

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%

Sample: 29

ID: 9

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%

Sample: 30

ID: 10

Recall: 55.56%

Precision: 62.50%

Hmean: 58.82%

Sample: 31

ID: 11

Recall: 100.00%

Precision: 42.86%

Hmean: 60.00%

Sample: 32

ID: 12

Recall: 16.67%

Precision: 100.00%

Hmean: 28.57%

Sample: 33

ID: 13

Recall: 25.00%

Precision: 33.33%

Hmean: 28.57%

Sample: 34

ID: 14

Recall: 80.00%

Precision: 100.00%

Hmean: 88.89%

Sample: 35

ID: 15

Recall: 66.67%

Precision: 100.00%

Hmean: 80.00%

Sample: 36

ID: 16

Recall: 57.14%

Precision: 50.00%

Hmean: 53.33%

Sample: 37

ID: 17

Recall: 60.00%

Precision: 50.00%

Hmean: 54.55%

Sample: 38

ID: 18

Recall: 50.00%

Precision: 100.00%

Hmean: 66.67%

Sample: 39

ID: 19

Recall: 25.00%

Precision: 50.00%

Hmean: 33.33%

Sample: 40

ID: 20

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%