Sample: 1
ID: 00001
Average Precision: 25.00%
Recall: 25.00%
Precision: 50.00%
Hmean: 33.33%
Sample: 2
ID: 00002
Average Precision: 48.97%
Recall: 66.67%
Precision: 85.71%
Hmean: 75.00%
Sample: 3
ID: 00003
Average Precision: 45.83%
Recall: 50.00%
Precision: 75.00%
Hmean: 60.00%
Sample: 4
ID: 00004
Average Precision: 100.00%
Recall: 100.00%
Precision: 100.00%
Hmean: 100.00%
Sample: 5
ID: 00005
Average Precision: 83.33%
Recall: 83.33%
Precision: 90.91%
Hmean: 86.96%
Sample: 6
ID: 00006
Average Precision: 28.89%
Recall: 33.33%
Hmean: 40.00%
Sample: 7
ID: 00007
Average Precision: 60.00%
Recall: 64.71%
Precision: 55.00%
Hmean: 59.46%
Sample: 8
ID: 00008
Average Precision: 98.66%
Precision: 92.31%
Hmean: 96.00%
Sample: 9
ID: 00009
Sample: 10
ID: 00010
Average Precision: 45.73%
Recall: 75.00%
Precision: 69.23%
Hmean: 72.00%
Sample: 11
ID: 00011
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 74.80%
Recall: 77.78%
Precision: 70.00%
Hmean: 73.68%
Sample: 14
ID: 00014
Average Precision: 85.71%
Recall: 85.71%
Hmean: 92.31%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 84.58%
Recall: 89.58%
Precision: 93.48%
Hmean: 91.49%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020