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: 95.83%
Sample: 4
ID: 000004
1-NED: 100.00%
Sample: 5
ID: 000005
1-NED: 83.33%
Sample: 6
ID: 000006
Recall: 84.62%
Precision: 78.57%
Hmean: 81.48%
1-NED: 66.25%
Sample: 7
ID: 000007
Precision: 93.33%
Hmean: 96.55%
1-NED: 92.67%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
1-NED: 90.48%
Sample: 10
ID: 000010
1-NED: 87.50%
Sample: 11
ID: 000011
1-NED: 90.00%
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Precision: 66.67%
Hmean: 75.00%
1-NED: 60.00%
Sample: 15
ID: 000015
Sample: 16
ID: 000016
1-NED: 62.50%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 90.91%
Hmean: 95.24%
1-NED: 78.18%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Precision: 93.75%
Hmean: 96.77%
1-NED: 93.75%