Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 66.67%
Sample: 2
ID: 000002
Recall: 71.43%
Precision: 100.00%
Hmean: 83.33%
1-NED: 71.43%
Sample: 3
ID: 000003
Recall: 100.00%
Hmean: 100.00%
1-NED: 100.00%
Sample: 4
ID: 000004
1-NED: 82.22%
Sample: 5
ID: 000005
Recall: 85.71%
Hmean: 92.31%
1-NED: 85.71%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 83.33%
1-NED: 67.38%
Sample: 7
ID: 000007
Precision: 88.89%
Hmean: 94.12%
1-NED: 88.89%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Precision: 85.71%
Hmean: 85.71%
1-NED: 75.00%
Sample: 10
ID: 000010
Precision: 66.67%
Sample: 11
ID: 000011
Hmean: 90.91%
Sample: 12
ID: 000012
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Recall: 88.89%
Precision: 72.73%
Sample: 15
ID: 000015
1-NED: 52.78%
Sample: 16
ID: 000016
Hmean: 88.89%
1-NED: 68.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 72.73%
1-NED: 59.74%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 81.25%
Hmean: 83.87%
1-NED: 70.37%