Sample: 1
ID: 00001
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 2
ID: 00002
Average Precision: 37.96%
Recall: 44.44%
Precision: 33.33%
Hmean: 38.10%
Sample: 3
ID: 00003
Average Precision: 66.67%
Recall: 66.67%
Precision: 100.00%
Hmean: 80.00%
Sample: 4
ID: 00004
Average Precision: 100.00%
Recall: 100.00%
Precision: 75.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Average Precision: 83.33%
Recall: 83.33%
Hmean: 90.91%
Sample: 6
ID: 00006
Average Precision: 55.56%
Recall: 55.56%
Precision: 71.43%
Hmean: 62.50%
Sample: 7
ID: 00007
Average Precision: 64.71%
Recall: 64.71%
Hmean: 78.57%
Sample: 8
ID: 00008
Average Precision: 62.66%
Recall: 75.00%
Hmean: 75.00%
Sample: 9
ID: 00009
Average Precision: 48.70%
Precision: 83.33%
Hmean: 66.67%
Sample: 10
ID: 00010
Average Precision: 10.52%
Recall: 25.00%
Precision: 42.86%
Hmean: 31.58%
Sample: 11
ID: 00011
Hmean: 100.00%
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 74.12%
Recall: 88.89%
Precision: 88.89%
Hmean: 88.89%
Sample: 14
ID: 00014
Average Precision: 85.71%
Recall: 85.71%
Hmean: 92.31%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 69.75%
Recall: 81.25%
Precision: 81.25%
Hmean: 81.25%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Average Precision: 54.97%
Precision: 60.00%
Sample: 20
ID: 00020