Sample: 121

ID: 1

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 122

ID: 2

Recall: 90.00%

Precision: 90.00%

Hmean: 90.00%

Sample: 123

ID: 3

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 124

ID: 4

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 125

ID: 5

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 126

ID: 6

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 127

ID: 7

Recall: 100.00%

Precision: 25.00%

Hmean: 40.00%

Sample: 128

ID: 8

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 129

ID: 9

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 130

ID: 10

Recall: 77.78%

Precision: 87.50%

Hmean: 82.35%

Sample: 131

ID: 11

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 132

ID: 12

Recall: 83.33%

Precision: 100.00%

Hmean: 90.91%

Sample: 133

ID: 13

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 134

ID: 14

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 135

ID: 15

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

Sample: 136

ID: 16

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 137

ID: 17

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 138

ID: 18

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 139

ID: 19

Recall: 75.00%

Precision: 100.00%

Hmean: 85.71%

Sample: 140

ID: 20

Recall: 30.00%

Precision: 60.00%

Hmean: 40.00%