Sample: 1
ID: 00001
Average Precision: 66.67%
Recall: 66.67%
Precision: 80.00%
Hmean: 72.73%
Sample: 2
ID: 00002
Average Precision: 45.83%
Recall: 45.83%
Precision: 91.67%
Hmean: 61.11%
Sample: 3
ID: 00003
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 4
ID: 00004
Average Precision: 28.75%
Recall: 75.00%
Precision: 50.00%
Hmean: 60.00%
Sample: 5
ID: 00005
Average Precision: 83.33%
Recall: 83.33%
Precision: 100.00%
Hmean: 90.91%
Sample: 6
ID: 00006
Precision: 40.00%
Hmean: 50.00%
Sample: 7
ID: 00007
Average Precision: 42.71%
Precision: 37.50%
Sample: 8
ID: 00008
Average Precision: 81.82%
Recall: 81.82%
Precision: 90.00%
Hmean: 85.71%
Sample: 9
ID: 00009
Average Precision: 68.88%
Recall: 72.46%
Precision: 96.15%
Hmean: 82.64%
Sample: 10
ID: 00010
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 11
ID: 00011
Precision: 66.67%
Hmean: 66.67%
Sample: 12
ID: 00012
Average Precision: 24.01%
Recall: 60.00%
Precision: 54.55%
Hmean: 57.14%
Sample: 13
ID: 00013
Average Precision: 86.67%
Recall: 86.67%
Hmean: 92.86%
Sample: 14
ID: 00014
Average Precision: 33.82%
Recall: 35.29%
Precision: 75.00%
Hmean: 48.00%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 83.92%
Recall: 85.71%
Precision: 85.71%
Sample: 17
ID: 00017
Average Precision: 88.75%
Hmean: 88.89%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020