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: 71.43%
Sample: 3
ID: 000003
Recall: 100.00%
Hmean: 100.00%
1-NED: 94.44%
Sample: 4
ID: 000004
Precision: 75.00%
Hmean: 85.71%
Sample: 5
ID: 000005
Precision: 85.71%
1-NED: 43.75%
Sample: 6
ID: 000006
Recall: 83.33%
Precision: 83.33%
Hmean: 83.33%
1-NED: 67.86%
Sample: 7
ID: 000007
Recall: 93.75%
Precision: 93.75%
Hmean: 93.75%
1-NED: 75.59%
Sample: 8
ID: 000008
1-NED: 100.00%
Sample: 9
ID: 000009
1-NED: 80.52%
Sample: 10
ID: 000010
Precision: 50.00%
Hmean: 66.67%
1-NED: 41.67%
Sample: 11
ID: 000011
Sample: 12
ID: 000012
Recall: 66.67%
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Recall: 77.78%
Precision: 63.64%
Hmean: 70.00%
1-NED: 53.85%
Sample: 15
ID: 000015
1-NED: 83.33%
Sample: 16
ID: 000016
Recall: 50.00%
Hmean: 50.00%
1-NED: 33.33%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 90.91%
Precision: 90.91%
Hmean: 90.91%
1-NED: 49.36%
Sample: 19
ID: 000019
Sample: 20
ID: 000020
Recall: 93.33%
Precision: 87.50%
Hmean: 90.32%
1-NED: 73.33%