Sample: 1
ID: 00001
Average Precision: 29.17%
Recall: 50.00%
Precision: 66.67%
Hmean: 57.14%
Sample: 2
ID: 00002
Average Precision: 63.23%
Recall: 66.67%
Precision: 85.71%
Hmean: 75.00%
Sample: 3
ID: 00003
Average Precision: 50.00%
Precision: 75.00%
Hmean: 60.00%
Sample: 4
ID: 00004
Average Precision: 100.00%
Recall: 100.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Average Precision: 83.33%
Recall: 83.33%
Precision: 100.00%
Hmean: 90.91%
Sample: 6
ID: 00006
Average Precision: 22.22%
Recall: 22.22%
Hmean: 33.33%
Sample: 7
ID: 00007
Average Precision: 29.50%
Recall: 58.82%
Precision: 45.45%
Hmean: 51.28%
Sample: 8
ID: 00008
Average Precision: 89.38%
Recall: 91.67%
Precision: 91.67%
Hmean: 91.67%
Sample: 9
ID: 00009
Sample: 10
ID: 00010
Average Precision: 42.43%
Sample: 11
ID: 00011
Hmean: 100.00%
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 88.89%
Recall: 88.89%
Hmean: 94.12%
Sample: 14
ID: 00014
Average Precision: 85.71%
Recall: 85.71%
Hmean: 92.31%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 65.98%
Recall: 70.83%
Precision: 82.93%
Hmean: 76.40%
Sample: 17
ID: 00017
Hmean: 66.67%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Average Precision: 87.50%
Recall: 87.50%
Precision: 70.00%
Hmean: 77.78%
Sample: 20
ID: 00020