Sample: 1
ID: 00001
Average Precision: 83.33%
Recall: 83.33%
Precision: 62.50%
Hmean: 71.43%
Sample: 2
ID: 00002
Average Precision: 43.12%
Recall: 45.83%
Precision: 73.33%
Hmean: 56.41%
Sample: 3
ID: 00003
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 4
ID: 00004
Average Precision: 75.00%
Recall: 75.00%
Precision: 100.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Hmean: 90.91%
Sample: 6
ID: 00006
Average Precision: 66.67%
Recall: 66.67%
Precision: 50.00%
Hmean: 57.14%
Sample: 7
ID: 00007
Precision: 60.00%
Hmean: 66.67%
Sample: 8
ID: 00008
Average Precision: 88.16%
Recall: 90.91%
Precision: 90.91%
Sample: 9
ID: 00009
Average Precision: 76.88%
Recall: 78.26%
Precision: 81.82%
Hmean: 80.00%
Sample: 10
ID: 00010
Average Precision: 50.00%
Recall: 50.00%
Sample: 11
ID: 00011
Sample: 12
ID: 00012
Average Precision: 67.00%
Recall: 70.00%
Precision: 63.64%
Sample: 13
ID: 00013
Average Precision: 86.67%
Recall: 86.67%
Hmean: 92.86%
Sample: 14
ID: 00014
Average Precision: 31.65%
Recall: 35.29%
Precision: 66.67%
Hmean: 46.15%
Sample: 15
ID: 00015
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 16
ID: 00016
Average Precision: 85.71%
Recall: 85.71%
Precision: 85.71%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020
Average Precision: 71.43%
Recall: 71.43%
Precision: 83.33%
Hmean: 76.92%