Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 66.67%
Sample: 2
ID: 000002
Recall: 85.71%
Precision: 100.00%
Hmean: 92.31%
1-NED: 80.95%
Sample: 3
ID: 000003
Recall: 100.00%
Hmean: 100.00%
1-NED: 94.44%
Sample: 4
ID: 000004
1-NED: 83.33%
Sample: 5
ID: 000005
Recall: 57.14%
Hmean: 66.67%
1-NED: 37.50%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 76.92%
1-NED: 62.44%
Sample: 7
ID: 000007
Recall: 87.50%
Precision: 93.33%
Hmean: 90.32%
1-NED: 74.26%
Sample: 8
ID: 000008
1-NED: 100.00%
Sample: 9
ID: 000009
Hmean: 90.91%
1-NED: 75.00%
Sample: 10
ID: 000010
Recall: 50.00%
Precision: 50.00%
Hmean: 50.00%
1-NED: 33.33%
Sample: 11
ID: 000011
1-NED: 62.50%
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Sample: 15
ID: 000015
Sample: 16
ID: 000016
Hmean: 88.89%
1-NED: 68.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 81.82%
Hmean: 90.00%
1-NED: 65.66%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 86.67%
Hmean: 86.67%
1-NED: 68.63%