Sample: 1
ID: 000001
Recall: 80.00%
Precision: 66.67%
Hmean: 72.73%
1-NED: 57.14%
Sample: 2
ID: 000002
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
1-NED: 92.86%
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: 84.62%
Hmean: 91.67%
1-NED: 82.05%
Sample: 7
ID: 000007
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Recall: 85.71%
Hmean: 92.31%
1-NED: 76.19%
Sample: 10
ID: 000010
1-NED: 66.67%
Sample: 11
ID: 000011
Precision: 71.43%
Hmean: 83.33%
1-NED: 71.43%
Sample: 12
ID: 000012
Recall: 66.67%
Hmean: 80.00%
Sample: 13
ID: 000013
Precision: 50.00%
Hmean: 66.67%
1-NED: 50.00%
Sample: 14
ID: 000014
Recall: 88.89%
Precision: 72.73%
Sample: 15
ID: 000015
Sample: 16
ID: 000016
Recall: 75.00%
Hmean: 85.71%
1-NED: 75.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
1-NED: 77.27%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 93.33%
Precision: 87.50%
Hmean: 90.32%
1-NED: 80.09%