Sample: 1
ID: 00001
Average Precision: 83.33%
Recall: 83.33%
Precision: 100.00%
Hmean: 90.91%
Sample: 2
ID: 00002
Average Precision: 36.74%
Recall: 37.50%
Precision: 81.82%
Hmean: 51.43%
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: 66.67%
Recall: 66.67%
Precision: 50.00%
Hmean: 57.14%
Sample: 7
ID: 00007
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 8
ID: 00008
Average Precision: 61.20%
Recall: 63.64%
Precision: 70.00%
Hmean: 66.67%
Sample: 9
ID: 00009
Average Precision: 73.68%
Recall: 73.91%
Precision: 96.23%
Hmean: 83.61%
Sample: 10
ID: 00010
Sample: 11
ID: 00011
Average Precision: 91.51%
Precision: 85.71%
Hmean: 92.31%
Sample: 12
ID: 00012
Average Precision: 78.89%
Recall: 80.00%
Precision: 80.00%
Hmean: 80.00%
Sample: 13
ID: 00013
Average Precision: 79.49%
Precision: 92.31%
Sample: 14
ID: 00014
Average Precision: 22.35%
Recall: 23.53%
Precision: 66.67%
Hmean: 34.78%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 78.57%
Recall: 78.57%
Hmean: 88.00%
Sample: 17
ID: 00017
Average Precision: 95.00%
Hmean: 88.89%
Sample: 18
ID: 00018
Average Precision: 50.00%
Recall: 50.00%
Sample: 19
ID: 00019
Sample: 20
ID: 00020