Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 66.67%
Sample: 2
ID: 000002
Recall: 85.71%
Precision: 85.71%
Hmean: 85.71%
1-NED: 70.83%
Sample: 3
ID: 000003
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
1-NED: 100.00%
Sample: 4
ID: 000004
1-NED: 88.89%
Sample: 5
ID: 000005
1-NED: 64.58%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 76.92%
1-NED: 65.56%
Sample: 7
ID: 000007
Recall: 93.75%
Hmean: 96.77%
1-NED: 90.16%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Sample: 10
ID: 000010
Precision: 66.67%
1-NED: 33.33%
Sample: 11
ID: 000011
Precision: 83.33%
Hmean: 90.91%
1-NED: 83.33%
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Precision: 70.00%
Hmean: 82.35%
1-NED: 65.00%
Sample: 15
ID: 000015
Sample: 16
ID: 000016
Recall: 60.00%
Precision: 50.00%
Hmean: 54.55%
1-NED: 30.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 81.82%
Hmean: 90.00%
1-NED: 76.57%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 92.86%
Hmean: 89.66%
1-NED: 79.17%