Sample: 61

ID: 1

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 62

ID: 2

Recall: 90.00%

Precision: 90.00%

Hmean: 90.00%

Sample: 63

ID: 3

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 64

ID: 4

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 65

ID: 5

Recall: 80.00%

Precision: 66.67%

Hmean: 72.73%

Sample: 66

ID: 6

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 67

ID: 7

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 68

ID: 8

Recall: 100.00%

Precision: 66.67%

Hmean: 80.00%

Sample: 69

ID: 9

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 70

ID: 10

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 71

ID: 11

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 72

ID: 12

Recall: 83.33%

Precision: 100.00%

Hmean: 90.91%

Sample: 73

ID: 13

Recall: 75.00%

Precision: 75.00%

Hmean: 75.00%

Sample: 74

ID: 14

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 75

ID: 15

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

Sample: 76

ID: 16

Recall: 100.00%

Precision: 87.50%

Hmean: 93.33%

Sample: 77

ID: 17

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 78

ID: 18

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 79

ID: 19

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 80

ID: 20

Recall: 40.00%

Precision: 57.14%

Hmean: 47.06%