Sample: 1

ID: 000001

Recall: 100.00%

Precision: 71.43%

Hmean: 83.33%

Sample: 2

ID: 000002

Recall: 100.00%

Precision: 63.64%

Hmean: 77.78%

Sample: 3

ID: 000003

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 4

ID: 000004

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

Sample: 5

ID: 000005

Recall: 85.71%

Precision: 85.71%

Hmean: 85.71%

Sample: 6

ID: 000006

Recall: 91.67%

Precision: 68.75%

Hmean: 78.57%

Sample: 7

ID: 000007

Recall: 100.00%

Precision: 71.43%

Hmean: 83.33%

Sample: 8

ID: 000008

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 9

ID: 000009

Recall: 85.71%

Precision: 46.15%

Hmean: 60.00%

Sample: 10

ID: 000010

Recall: 100.00%

Precision: 33.33%

Hmean: 50.00%

Sample: 11

ID: 000011

Recall: 100.00%

Precision: 62.50%

Hmean: 76.92%

Sample: 12

ID: 000012

Recall: 66.67%

Precision: 100.00%

Hmean: 80.00%

Sample: 13

ID: 000013

Recall: 100.00%

Precision: 50.00%

Hmean: 66.67%

Sample: 14

ID: 000014

Recall: 85.71%

Precision: 50.00%

Hmean: 63.16%

Sample: 15

ID: 000015

Recall: 100.00%

Precision: 66.67%

Hmean: 80.00%

Sample: 16

ID: 000016

Recall: 100.00%

Precision: 50.00%

Hmean: 66.67%

Sample: 17

ID: 000017

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 18

ID: 000018

Recall: 90.91%

Precision: 76.92%

Hmean: 83.33%

Sample: 19

ID: 000019

Recall: 100.00%

Precision: 90.00%

Hmean: 94.74%

Sample: 20

ID: 000020

Recall: 93.33%

Precision: 82.35%

Hmean: 87.50%