Sample: 1
ID: 000001
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
1-NED: 66.67%
Sample: 2
ID: 000002
Recall: 71.43%
Precision: 100.00%
Hmean: 83.33%
1-NED: 46.67%
Sample: 3
ID: 000003
Recall: 83.33%
Precision: 62.50%
Hmean: 71.43%
1-NED: 44.44%
Sample: 4
ID: 000004
Recall: 66.67%
1-NED: 46.03%
Sample: 5
ID: 000005
Hmean: 66.67%
1-NED: 30.00%
Sample: 6
ID: 000006
Recall: 75.00%
Precision: 64.29%
Hmean: 69.23%
1-NED: 45.10%
Sample: 7
ID: 000007
Recall: 73.33%
Precision: 78.57%
Hmean: 75.86%
1-NED: 49.38%
Sample: 8
ID: 000008
Recall: 100.00%
Hmean: 100.00%
1-NED: 100.00%
Sample: 9
ID: 000009
Recall: 85.71%
Hmean: 92.31%
1-NED: 65.48%
Sample: 10
ID: 000010
Recall: 50.00%
Precision: 50.00%
Hmean: 50.00%
1-NED: 33.33%
Sample: 11
ID: 000011
Precision: 71.43%
1-NED: 60.71%
Sample: 12
ID: 000012
Sample: 13
ID: 000013
Sample: 14
ID: 000014
Precision: 81.82%
Hmean: 90.00%
1-NED: 73.48%
Sample: 15
ID: 000015
1-NED: 16.67%
Sample: 16
ID: 000016
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
1-NED: 0.00%
Sample: 17
ID: 000017
Sample: 18
ID: 000018
Recall: 72.73%
Hmean: 84.21%
1-NED: 50.91%
Sample: 19
ID: 000019
1-NED: 96.30%
Sample: 20
ID: 000020
Recall: 86.67%
Precision: 76.47%
Hmean: 81.25%
1-NED: 59.30%