Sample: 1

ID: 000001

Recall: 80.00%

Precision: 80.00%

Hmean: 80.00%

Sample: 2

ID: 000002

Recall: 85.71%

Precision: 85.71%

Hmean: 85.71%

Sample: 3

ID: 000003

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 4

ID: 000004

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 5

ID: 000005

Recall: 85.71%

Precision: 85.71%

Hmean: 85.71%

Sample: 6

ID: 000006

Recall: 83.33%

Precision: 76.92%

Hmean: 80.00%

Sample: 7

ID: 000007

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 8

ID: 000008

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 9

ID: 000009

Recall: 85.71%

Precision: 75.00%

Hmean: 80.00%

Sample: 10

ID: 000010

Recall: 50.00%

Precision: 33.33%

Hmean: 40.00%

Sample: 11

ID: 000011

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: 000012

Recall: 66.67%

Precision: 100.00%

Hmean: 80.00%

Sample: 13

ID: 000013

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 14

ID: 000014

Recall: 85.71%

Precision: 66.67%

Hmean: 75.00%

Sample: 15

ID: 000015

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: 000016

Recall: 100.00%

Precision: 83.33%

Hmean: 90.91%

Sample: 17

ID: 000017

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 18

ID: 000018

Recall: 81.82%

Precision: 100.00%

Hmean: 90.00%

Sample: 19

ID: 000019

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: 000020

Recall: 80.00%

Precision: 92.31%

Hmean: 85.71%