Sample: 1

ID: 000001

Recall: 80.00%

Precision: 80.00%

Hmean: 80.00%

1-NED: 61.11%

Sample: 2

ID: 000002

Recall: 71.43%

Precision: 50.00%

Hmean: 58.82%

1-NED: 27.78%

Sample: 3

ID: 000003

Recall: 33.33%

Precision: 50.00%

Hmean: 40.00%

1-NED: 25.00%

Sample: 4

ID: 000004

Recall: 100.00%

Precision: 75.00%

Hmean: 85.71%

1-NED: 75.00%

Sample: 5

ID: 000005

Recall: 28.57%

Precision: 100.00%

Hmean: 44.44%

1-NED: 0.00%

Sample: 6

ID: 000006

Recall: 66.67%

Precision: 61.54%

Hmean: 64.00%

1-NED: 44.56%

Sample: 7

ID: 000007

Recall: 45.45%

Precision: 100.00%

Hmean: 62.50%

1-NED: 37.50%

Sample: 8

ID: 000008

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

1-NED: 93.33%

Sample: 9

ID: 000009

Recall: 66.67%

Precision: 66.67%

Hmean: 66.67%

1-NED: 25.38%

Sample: 10

ID: 000010

Recall: 50.00%

Precision: 50.00%

Hmean: 50.00%

1-NED: 22.22%

Sample: 11

ID: 000011

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

1-NED: 63.33%

Sample: 12

ID: 000012

Recall: 66.67%

Precision: 100.00%

Hmean: 80.00%

1-NED: 40.00%

Sample: 13

ID: 000013

Recall: 0.00%

Precision: 0.00%

Hmean: 0.00%

1-NED: 0.00%

Sample: 14

ID: 000014

Recall: 85.71%

Precision: 60.00%

Hmean: 70.59%

1-NED: 41.67%

Sample: 15

ID: 000015

Recall: 100.00%

Precision: 50.00%

Hmean: 66.67%

1-NED: 6.25%

Sample: 16

ID: 000016

Recall: 50.00%

Precision: 50.00%

Hmean: 50.00%

1-NED: 12.50%

Sample: 17

ID: 000017

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

1-NED: 66.67%

Sample: 18

ID: 000018

Recall: 54.55%

Precision: 100.00%

Hmean: 70.59%

1-NED: 41.54%

Sample: 19

ID: 000019

Recall: 77.78%

Precision: 77.78%

Hmean: 77.78%

1-NED: 62.81%

Sample: 20

ID: 000020

Recall: 93.33%

Precision: 93.33%

Hmean: 93.33%

1-NED: 78.08%