Sample: 1
ID: 00001
Average Precision: 83.33%
Recall: 83.33%
Precision: 100.00%
Hmean: 90.91%
Sample: 2
ID: 00002
Average Precision: 57.26%
Recall: 58.33%
Precision: 87.50%
Hmean: 70.00%
Sample: 3
ID: 00003
Average Precision: 50.00%
Recall: 50.00%
Precision: 50.00%
Hmean: 50.00%
Sample: 4
ID: 00004
Average Precision: 75.00%
Recall: 75.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Average Precision: 80.56%
Precision: 83.33%
Hmean: 83.33%
Sample: 6
ID: 00006
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 7
ID: 00007
Average Precision: 68.75%
Precision: 60.00%
Hmean: 66.67%
Sample: 8
ID: 00008
Average Precision: 90.91%
Recall: 90.91%
Hmean: 95.24%
Sample: 9
ID: 00009
Average Precision: 76.42%
Recall: 78.26%
Precision: 91.53%
Hmean: 84.38%
Sample: 10
ID: 00010
Sample: 11
ID: 00011
Average Precision: 59.17%
Recall: 66.67%
Precision: 80.00%
Hmean: 72.73%
Sample: 12
ID: 00012
Average Precision: 88.18%
Recall: 90.00%
Precision: 75.00%
Hmean: 81.82%
Sample: 13
ID: 00013
Average Precision: 93.33%
Recall: 93.33%
Hmean: 96.55%
Sample: 14
ID: 00014
Average Precision: 52.47%
Recall: 58.82%
Hmean: 68.97%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 85.71%
Recall: 85.71%
Hmean: 92.31%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Precision: 66.67%
Hmean: 80.00%
Sample: 19
ID: 00019
Sample: 20
ID: 00020