Sample: 1
ID: 00001
Average Precision: 12.50%
Recall: 25.00%
Precision: 50.00%
Hmean: 33.33%
Sample: 2
ID: 00002
Average Precision: 65.08%
Recall: 66.67%
Precision: 85.71%
Hmean: 75.00%
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%
Precision: 100.00%
Hmean: 100.00%
Sample: 5
ID: 00005
Average Precision: 75.00%
Recall: 75.00%
Hmean: 85.71%
Sample: 6
ID: 00006
Average Precision: 51.48%
Recall: 55.56%
Precision: 71.43%
Hmean: 62.50%
Sample: 7
ID: 00007
Average Precision: 38.19%
Recall: 52.94%
Precision: 56.25%
Hmean: 54.55%
Sample: 8
ID: 00008
Average Precision: 86.22%
Recall: 91.67%
Precision: 61.11%
Hmean: 73.33%
Sample: 9
ID: 00009
Average Precision: 66.67%
Sample: 10
ID: 00010
Average Precision: 44.17%
Precision: 54.55%
Hmean: 52.17%
Sample: 11
ID: 00011
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 72.95%
Recall: 77.78%
Precision: 63.64%
Hmean: 70.00%
Sample: 14
ID: 00014
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 80.92%
Recall: 83.33%
Precision: 93.02%
Hmean: 87.91%
Sample: 17
ID: 00017
Hmean: 50.00%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020