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: 62.50%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 76.92%
1-NED: 49.22%
Sample: 7
ID: 000007
Recall: 81.25%
Hmean: 89.66%
1-NED: 58.23%
Sample: 8
ID: 000008
1-NED: 100.00%
Sample: 9
ID: 000009
Sample: 10
ID: 000010
Sample: 11
ID: 000011
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
1-NED: 0.00%
Sample: 14
ID: 000014
Recall: 88.89%
Precision: 88.89%
Hmean: 88.89%
1-NED: 75.83%
Sample: 15
ID: 000015
1-NED: 91.67%
Sample: 16
ID: 000016
1-NED: 41.67%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 72.73%
Hmean: 84.21%
1-NED: 55.63%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 86.67%
Hmean: 86.67%
1-NED: 67.75%