Sample: 1
ID: 000001
Recall: 80.00%
Precision: 66.67%
Hmean: 72.73%
1-NED: 57.14%
Sample: 2
ID: 000002
Recall: 85.71%
Precision: 100.00%
Hmean: 92.31%
1-NED: 78.10%
Sample: 3
ID: 000003
Recall: 100.00%
Hmean: 100.00%
1-NED: 100.00%
Sample: 4
ID: 000004
Precision: 75.00%
Hmean: 85.71%
1-NED: 66.67%
Sample: 5
ID: 000005
1-NED: 61.90%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 76.92%
Hmean: 80.00%
1-NED: 62.89%
Sample: 7
ID: 000007
Precision: 82.35%
Hmean: 90.32%
1-NED: 74.71%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Hmean: 75.00%
1-NED: 50.00%
Sample: 10
ID: 000010
1-NED: 55.56%
Sample: 11
ID: 000011
Precision: 71.43%
Hmean: 83.33%
1-NED: 64.29%
Sample: 12
ID: 000012
1-NED: 83.33%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Precision: 50.00%
Hmean: 63.16%
1-NED: 46.15%
Sample: 15
ID: 000015
Sample: 16
ID: 000016
1-NED: 44.29%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 81.82%
Precision: 81.82%
Hmean: 81.82%
1-NED: 69.23%
Sample: 19
ID: 000019
Precision: 90.00%
Hmean: 94.74%
1-NED: 90.00%
Sample: 20
ID: 000020
Precision: 93.75%
Hmean: 96.77%
1-NED: 93.75%