Sample: 1
ID: 00001
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 2
ID: 00002
Average Precision: 58.80%
Recall: 66.67%
Precision: 50.00%
Hmean: 57.14%
Sample: 3
ID: 00003
Average Precision: 50.00%
Recall: 50.00%
Precision: 75.00%
Hmean: 60.00%
Sample: 4
ID: 00004
Average Precision: 100.00%
Recall: 100.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Sample: 6
ID: 00006
Average Precision: 22.22%
Recall: 22.22%
Hmean: 30.77%
Sample: 7
ID: 00007
Average Precision: 5.29%
Recall: 11.76%
Precision: 40.00%
Hmean: 18.18%
Sample: 8
ID: 00008
Average Precision: 75.72%
Recall: 83.33%
Precision: 66.67%
Hmean: 74.07%
Sample: 9
ID: 00009
Average Precision: 53.70%
Recall: 55.56%
Precision: 83.33%
Hmean: 66.67%
Sample: 10
ID: 00010
Average Precision: 28.68%
Recall: 58.33%
Precision: 63.64%
Hmean: 60.87%
Sample: 11
ID: 00011
Hmean: 80.00%
Sample: 12
ID: 00012
Precision: 100.00%
Hmean: 100.00%
Sample: 13
ID: 00013
Average Precision: 82.53%
Recall: 88.89%
Precision: 72.73%
Sample: 14
ID: 00014
Average Precision: 85.71%
Recall: 85.71%
Hmean: 92.31%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 52.13%
Recall: 56.25%
Precision: 72.97%
Hmean: 63.53%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020