Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 61.11%
Sample: 2
ID: 000002
Recall: 71.43%
Precision: 50.00%
Hmean: 58.82%
1-NED: 27.78%
Sample: 3
ID: 000003
Recall: 33.33%
Hmean: 40.00%
1-NED: 25.00%
Sample: 4
ID: 000004
Recall: 100.00%
Precision: 75.00%
Hmean: 85.71%
1-NED: 75.00%
Sample: 5
ID: 000005
Recall: 28.57%
Precision: 100.00%
Hmean: 44.44%
1-NED: 0.00%
Sample: 6
ID: 000006
Recall: 66.67%
Precision: 61.54%
Hmean: 64.00%
1-NED: 44.56%
Sample: 7
ID: 000007
Recall: 45.45%
Hmean: 62.50%
1-NED: 37.50%
Sample: 8
ID: 000008
Hmean: 100.00%
1-NED: 93.33%
Sample: 9
ID: 000009
Precision: 66.67%
Hmean: 66.67%
1-NED: 25.38%
Sample: 10
ID: 000010
Recall: 50.00%
Hmean: 50.00%
1-NED: 22.22%
Sample: 11
ID: 000011
1-NED: 63.33%
Sample: 12
ID: 000012
1-NED: 40.00%
Sample: 13
ID: 000013
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 14
ID: 000014
Recall: 85.71%
Precision: 60.00%
Hmean: 70.59%
1-NED: 41.67%
Sample: 15
ID: 000015
1-NED: 6.25%
Sample: 16
ID: 000016
1-NED: 12.50%
Sample: 17
ID: 000017
1-NED: 66.67%
Sample: 18
ID: 000018
Recall: 54.55%
1-NED: 41.54%
Sample: 19
ID: 000019
Recall: 77.78%
Precision: 77.78%
Hmean: 77.78%
1-NED: 62.81%
Sample: 20
ID: 000020
Recall: 93.33%
Precision: 93.33%
Hmean: 93.33%
1-NED: 78.08%