Sample: 1
ID: 00001
Average Precision: 83.33%
Recall: 83.33%
Precision: 100.00%
Hmean: 90.91%
Sample: 2
ID: 00002
Average Precision: 33.33%
Recall: 33.33%
Hmean: 50.00%
Sample: 3
ID: 00003
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 4
ID: 00004
Average Precision: 75.00%
Recall: 75.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Sample: 6
ID: 00006
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 7
ID: 00007
Average Precision: 25.00%
Recall: 25.00%
Hmean: 40.00%
Sample: 8
ID: 00008
Average Precision: 71.72%
Recall: 72.73%
Precision: 80.00%
Hmean: 76.19%
Sample: 9
ID: 00009
Average Precision: 63.56%
Recall: 65.22%
Precision: 95.74%
Hmean: 77.59%
Sample: 10
ID: 00010
Sample: 11
ID: 00011
Average Precision: 45.83%
Recall: 50.00%
Precision: 60.00%
Hmean: 54.55%
Sample: 12
ID: 00012
Average Precision: 36.48%
Precision: 62.50%
Hmean: 55.56%
Sample: 13
ID: 00013
Average Precision: 46.67%
Recall: 46.67%
Hmean: 63.64%
Sample: 14
ID: 00014
Average Precision: 14.22%
Recall: 17.65%
Hmean: 27.27%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 78.57%
Recall: 78.57%
Hmean: 88.00%
Sample: 17
ID: 00017
Average Precision: 50.00%
Hmean: 66.67%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020
Average Precision: 39.91%
Recall: 71.43%
Precision: 50.00%
Hmean: 58.82%