Sample: 41

ID: 1

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 42

ID: 2

Recall: 90.00%

Precision: 100.00%

Hmean: 94.74%

Sample: 43

ID: 3

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

Sample: 44

ID: 4

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 45

ID: 5

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 46

ID: 6

Recall: 100.00%

Precision: 80.00%

Hmean: 88.89%

Sample: 47

ID: 7

Recall: 100.00%

Precision: 66.67%

Hmean: 80.00%

Sample: 48

ID: 8

Recall: 100.00%

Precision: 66.67%

Hmean: 80.00%

Sample: 49

ID: 9

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 50

ID: 10

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 51

ID: 11

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

Sample: 52

ID: 12

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 53

ID: 13

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 54

ID: 14

Recall: 100.00%

Precision: 71.43%

Hmean: 83.33%

Sample: 55

ID: 15

Recall: 100.00%

Precision: 60.00%

Hmean: 75.00%

Sample: 56

ID: 16

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 57

ID: 17

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 58

ID: 18

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 59

ID: 19

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 60

ID: 20

Recall: 20.00%

Precision: 66.67%

Hmean: 30.77%