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: 100.00%
Sample: 4
ID: 000004
1-NED: 88.89%
Sample: 5
ID: 000005
Recall: 57.14%
Precision: 66.67%
Hmean: 61.54%
1-NED: 38.89%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 76.92%
1-NED: 64.00%
Sample: 7
ID: 000007
Hmean: 82.76%
1-NED: 66.47%
Sample: 8
ID: 000008
Sample: 9
ID: 000009
Sample: 10
ID: 000010
Recall: 50.00%
Precision: 50.00%
Hmean: 50.00%
1-NED: 33.33%
Sample: 11
ID: 000011
Precision: 71.43%
Hmean: 83.33%
1-NED: 71.43%
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Sample: 15
ID: 000015
1-NED: 79.17%
Sample: 16
ID: 000016
Recall: 75.00%
Precision: 75.00%
Hmean: 75.00%
1-NED: 50.00%
Sample: 17
ID: 000017
1-NED: 83.33%
Sample: 18
ID: 000018
Recall: 72.73%
Hmean: 76.19%
1-NED: 42.49%
Sample: 19
ID: 000019
Recall: 77.78%
Precision: 87.50%
Hmean: 82.35%
1-NED: 70.00%
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 86.67%
Hmean: 86.67%
1-NED: 71.27%