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: 79.17%
Sample: 3
ID: 000003
1-NED: 100.00%
Sample: 4
ID: 000004
1-NED: 88.89%
Sample: 5
ID: 000005
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 76.92%
1-NED: 63.33%
Sample: 7
ID: 000007
Recall: 93.33%
Hmean: 96.55%
1-NED: 93.33%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
1-NED: 88.10%
Sample: 10
ID: 000010
Recall: 50.00%
Precision: 33.33%
Hmean: 40.00%
1-NED: 25.00%
Sample: 11
ID: 000011
Precision: 71.43%
Hmean: 83.33%
1-NED: 71.43%
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Precision: 50.00%
Hmean: 66.67%
1-NED: 50.00%
Sample: 14
ID: 000014
Recall: 88.89%
Hmean: 84.21%
1-NED: 68.94%
Sample: 15
ID: 000015
Sample: 16
ID: 000016
Hmean: 88.89%
1-NED: 52.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
1-NED: 77.27%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Precision: 93.75%
Hmean: 96.77%
1-NED: 93.75%