Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 62.50%
Sample: 2
ID: 000002
Recall: 85.71%
Precision: 100.00%
Hmean: 92.31%
1-NED: 47.62%
Sample: 3
ID: 000003
Recall: 100.00%
Hmean: 100.00%
1-NED: 82.78%
Sample: 4
ID: 000004
1-NED: 100.00%
Sample: 5
ID: 000005
Precision: 85.71%
Hmean: 85.71%
1-NED: 40.63%
Sample: 6
ID: 000006
Recall: 75.00%
Precision: 75.00%
Hmean: 75.00%
1-NED: 44.00%
Sample: 7
ID: 000007
Recall: 93.33%
Hmean: 96.55%
1-NED: 64.00%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Recall: 71.43%
Precision: 62.50%
Hmean: 66.67%
1-NED: 37.08%
Sample: 10
ID: 000010
1-NED: 50.00%
Sample: 11
ID: 000011
1-NED: 73.33%
Sample: 12
ID: 000012
Recall: 66.67%
1-NED: 60.00%
Sample: 13
ID: 000013
1-NED: 75.00%
Sample: 14
ID: 000014
1-NED: 47.50%
Sample: 15
ID: 000015
Recall: 50.00%
1-NED: 37.50%
Sample: 16
ID: 000016
Sample: 17
ID: 000017
1-NED: 41.67%
Sample: 18
ID: 000018
Recall: 72.73%
Hmean: 84.21%
1-NED: 35.59%
Sample: 19
ID: 000019
1-NED: 84.26%
Sample: 20
ID: 000020
Precision: 92.31%
1-NED: 54.69%