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%
Sample: 3
ID: 000003
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
1-NED: 96.67%
Sample: 4
ID: 000004
1-NED: 100.00%
Sample: 5
ID: 000005
1-NED: 75.00%
Sample: 6
ID: 000006
Recall: 76.92%
Precision: 76.92%
Hmean: 76.92%
1-NED: 55.00%
Sample: 7
ID: 000007
1-NED: 89.38%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Precision: 77.78%
Hmean: 87.50%
1-NED: 55.56%
Sample: 10
ID: 000010
Precision: 50.00%
Hmean: 66.67%
1-NED: 41.67%
Sample: 11
ID: 000011
Precision: 83.33%
Hmean: 90.91%
Sample: 12
ID: 000012
Precision: 75.00%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Precision: 60.00%
Hmean: 70.59%
1-NED: 54.55%
Sample: 15
ID: 000015
1-NED: 47.92%
Sample: 16
ID: 000016
Recall: 50.00%
Precision: 33.33%
Hmean: 40.00%
1-NED: 18.75%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 63.64%
Precision: 87.50%
Hmean: 73.68%
1-NED: 47.69%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 86.67%
Hmean: 86.67%
1-NED: 73.04%