Sample: 1
ID: 00001
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 2
ID: 00002
Average Precision: 28.70%
Recall: 44.44%
Precision: 57.14%
Hmean: 50.00%
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
Average Precision: 62.16%
Recall: 66.67%
Precision: 72.73%
Hmean: 69.57%
Sample: 6
ID: 00006
Average Precision: 32.59%
Precision: 66.67%
Hmean: 53.33%
Sample: 7
ID: 00007
Average Precision: 46.63%
Recall: 58.82%
Precision: 52.63%
Hmean: 55.56%
Sample: 8
ID: 00008
Average Precision: 72.20%
Recall: 75.00%
Hmean: 75.00%
Sample: 9
ID: 00009
Average Precision: 65.08%
Hmean: 70.59%
Sample: 10
ID: 00010
Average Precision: 40.40%
Recall: 58.33%
Precision: 63.64%
Hmean: 60.87%
Sample: 11
ID: 00011
Precision: 100.00%
Hmean: 100.00%
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 53.70%
Recall: 55.56%
Precision: 71.43%
Hmean: 62.50%
Sample: 14
ID: 00014
Average Precision: 71.43%
Recall: 71.43%
Hmean: 83.33%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 59.01%
Recall: 60.42%
Precision: 96.67%
Hmean: 74.36%
Sample: 17
ID: 00017
Precision: 50.00%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Precision: 88.89%
Hmean: 94.12%
Sample: 20
ID: 00020
Precision: 83.33%
Hmean: 90.91%