Sample: 1
ID: 00001
Average Precision: 66.67%
Recall: 66.67%
Precision: 100.00%
Hmean: 80.00%
Sample: 2
ID: 00002
Average Precision: 39.29%
Recall: 41.67%
Precision: 83.33%
Hmean: 55.56%
Sample: 3
ID: 00003
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 4
ID: 00004
Sample: 5
ID: 00005
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 6
ID: 00006
Precision: 40.00%
Hmean: 50.00%
Sample: 7
ID: 00007
Average Precision: 37.50%
Recall: 50.00%
Hmean: 44.44%
Sample: 8
ID: 00008
Average Precision: 90.08%
Recall: 90.91%
Hmean: 86.96%
Sample: 9
ID: 00009
Average Precision: 75.42%
Recall: 76.81%
Precision: 89.83%
Hmean: 82.81%
Sample: 10
ID: 00010
Sample: 11
ID: 00011
Average Precision: 83.33%
Recall: 83.33%
Hmean: 90.91%
Sample: 12
ID: 00012
Average Precision: 71.65%
Recall: 80.00%
Precision: 57.14%
Hmean: 66.67%
Sample: 13
ID: 00013
Average Precision: 75.63%
Precision: 75.00%
Hmean: 77.42%
Sample: 14
ID: 00014
Average Precision: 41.42%
Recall: 47.06%
Precision: 80.00%
Hmean: 59.26%
Sample: 15
ID: 00015
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: 32.38%
Recall: 57.14%
Precision: 50.00%
Hmean: 53.33%