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: 100.00%
Hmean: 92.31%
1-NED: 80.95%
Sample: 3
ID: 000003
Recall: 83.33%
Precision: 62.50%
Hmean: 71.43%
1-NED: 55.56%
Sample: 4
ID: 000004
Recall: 100.00%
Hmean: 100.00%
1-NED: 85.56%
Sample: 5
ID: 000005
Precision: 85.71%
Hmean: 85.71%
1-NED: 50.00%
Sample: 6
ID: 000006
Recall: 81.82%
Precision: 75.00%
Hmean: 78.26%
1-NED: 55.48%
Sample: 7
ID: 000007
Recall: 93.75%
Hmean: 96.77%
1-NED: 79.69%
Sample: 8
ID: 000008
1-NED: 100.00%
Sample: 9
ID: 000009
1-NED: 77.78%
Sample: 10
ID: 000010
Sample: 11
ID: 000011
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Precision: 50.00%
Hmean: 66.67%
Sample: 14
ID: 000014
Precision: 60.00%
Hmean: 70.59%
1-NED: 51.52%
Sample: 15
ID: 000015
1-NED: 83.33%
Sample: 16
ID: 000016
Precision: 57.14%
1-NED: 37.50%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Hmean: 90.00%
1-NED: 60.00%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 93.33%
Precision: 93.33%
Hmean: 93.33%
1-NED: 81.25%