Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 66.67%
Sample: 2
ID: 000002
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
1-NED: 61.90%
Sample: 3
ID: 000003
1-NED: 95.83%
Sample: 4
ID: 000004
1-NED: 85.56%
Sample: 5
ID: 000005
Recall: 85.71%
Precision: 85.71%
Hmean: 85.71%
1-NED: 50.00%
Sample: 6
ID: 000006
Recall: 91.67%
Hmean: 95.65%
1-NED: 67.65%
Sample: 7
ID: 000007
Recall: 87.50%
Precision: 93.33%
Hmean: 90.32%
1-NED: 58.53%
Sample: 8
ID: 000008
1-NED: 100.00%
Sample: 9
ID: 000009
1-NED: 65.15%
Sample: 10
ID: 000010
Sample: 11
ID: 000011
1-NED: 90.00%
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Precision: 50.00%
Hmean: 66.67%
Sample: 14
ID: 000014
Precision: 77.78%
Hmean: 87.50%
1-NED: 67.59%
Sample: 15
ID: 000015
Precision: 66.67%
1-NED: 44.44%
Sample: 16
ID: 000016
Hmean: 72.73%
1-NED: 40.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 90.91%
Hmean: 95.24%
1-NED: 59.02%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 92.31%
Precision: 70.59%
1-NED: 59.06%