Sample: 101

ID: 1

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 102

ID: 2

Recall: 90.00%

Precision: 90.00%

Hmean: 90.00%

Sample: 103

ID: 3

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 104

ID: 4

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 105

ID: 5

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 106

ID: 6

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 107

ID: 7

Recall: 100.00%

Precision: 25.00%

Hmean: 40.00%

Sample: 108

ID: 8

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 109

ID: 9

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 110

ID: 10

Recall: 77.78%

Precision: 87.50%

Hmean: 82.35%

Sample: 111

ID: 11

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 112

ID: 12

Recall: 83.33%

Precision: 100.00%

Hmean: 90.91%

Sample: 113

ID: 13

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 114

ID: 14

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 115

ID: 15

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

Sample: 116

ID: 16

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 117

ID: 17

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 118

ID: 18

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 119

ID: 19

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 120

ID: 20

Recall: 30.00%

Precision: 60.00%

Hmean: 40.00%