Sample: 1
ID: 00001
Average Precision: 83.33%
Recall: 83.33%
Precision: 83.33%
Hmean: 83.33%
Sample: 2
ID: 00002
Average Precision: 62.50%
Recall: 62.50%
Precision: 100.00%
Hmean: 76.92%
Sample: 3
ID: 00003
Average Precision: 50.00%
Recall: 50.00%
Hmean: 66.67%
Sample: 4
ID: 00004
Average Precision: 75.00%
Recall: 75.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Hmean: 90.91%
Sample: 6
ID: 00006
Average Precision: 66.67%
Recall: 66.67%
Hmean: 80.00%
Sample: 7
ID: 00007
Sample: 8
ID: 00008
Average Precision: 70.58%
Recall: 72.73%
Precision: 88.89%
Sample: 9
ID: 00009
Average Precision: 77.52%
Recall: 79.71%
Precision: 88.71%
Hmean: 83.97%
Sample: 10
ID: 00010
Sample: 11
ID: 00011
Precision: 80.00%
Hmean: 72.73%
Sample: 12
ID: 00012
Average Precision: 67.32%
Recall: 70.00%
Precision: 87.50%
Hmean: 77.78%
Sample: 13
ID: 00013
Average Precision: 61.75%
Precision: 76.92%
Hmean: 71.43%
Sample: 14
ID: 00014
Average Precision: 49.14%
Recall: 52.94%
Precision: 90.00%
Sample: 15
ID: 00015
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 16
ID: 00016
Average Precision: 85.71%
Recall: 85.71%
Hmean: 92.31%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020
Average Precision: 71.43%
Recall: 71.43%