Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 66.67%
Sample: 2
ID: 000002
Recall: 66.67%
Precision: 100.00%
1-NED: 50.00%
Sample: 3
ID: 000003
1-NED: 53.61%
Sample: 4
ID: 000004
1-NED: 31.75%
Sample: 5
ID: 000005
Recall: 28.57%
Hmean: 44.44%
1-NED: 17.86%
Sample: 6
ID: 000006
Recall: 55.56%
Hmean: 71.43%
1-NED: 35.56%
Sample: 7
ID: 000007
Recall: 27.27%
Hmean: 42.86%
1-NED: 25.45%
Sample: 8
ID: 000008
Recall: 100.00%
Hmean: 100.00%
1-NED: 100.00%
Sample: 9
ID: 000009
Recall: 57.14%
Hmean: 72.73%
1-NED: 42.86%
Sample: 10
ID: 000010
Sample: 11
ID: 000011
1-NED: 76.67%
Sample: 12
ID: 000012
Sample: 13
ID: 000013
1-NED: 75.00%
Sample: 14
ID: 000014
Recall: 88.89%
Precision: 88.89%
Hmean: 88.89%
1-NED: 78.33%
Sample: 15
ID: 000015
Sample: 16
ID: 000016
Recall: 25.00%
Precision: 25.00%
Hmean: 25.00%
1-NED: 14.29%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 45.45%
Hmean: 62.50%
1-NED: 20.07%
Sample: 19
ID: 000019
1-NED: 85.19%
Sample: 20
ID: 000020
Recall: 93.33%
Precision: 87.50%
Hmean: 90.32%
1-NED: 74.12%