Sample: 1
ID: 00001
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 2
ID: 00002
Average Precision: 50.16%
Recall: 55.56%
Precision: 62.50%
Hmean: 58.82%
Sample: 3
ID: 00003
Average Precision: 66.67%
Recall: 66.67%
Precision: 100.00%
Hmean: 80.00%
Sample: 4
ID: 00004
Average Precision: 91.67%
Recall: 100.00%
Precision: 75.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Average Precision: 65.74%
Precision: 88.89%
Hmean: 76.19%
Sample: 6
ID: 00006
Average Precision: 55.56%
Hmean: 71.43%
Sample: 7
ID: 00007
Average Precision: 60.45%
Recall: 64.71%
Precision: 78.57%
Hmean: 70.97%
Sample: 8
ID: 00008
Average Precision: 85.82%
Recall: 91.67%
Precision: 61.11%
Hmean: 73.33%
Sample: 9
ID: 00009
Average Precision: 51.48%
Precision: 83.33%
Hmean: 66.67%
Sample: 10
ID: 00010
Average Precision: 28.47%
Recall: 50.00%
Precision: 46.15%
Hmean: 48.00%
Sample: 11
ID: 00011
Average Precision: 100.00%
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: 55.02%
Recall: 58.33%
Precision: 90.32%
Hmean: 70.89%
Sample: 17
ID: 00017
Average Precision: 50.00%
Precision: 33.33%
Hmean: 40.00%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020
Average Precision: 40.00%
Recall: 40.00%
Hmean: 57.14%