Sample: 1
ID: 00001
Average Precision: 83.33%
Recall: 83.33%
Precision: 100.00%
Hmean: 90.91%
Sample: 2
ID: 00002
Average Precision: 41.67%
Recall: 41.67%
Hmean: 58.82%
Sample: 3
ID: 00003
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 4
ID: 00004
Sample: 5
ID: 00005
Sample: 6
ID: 00006
Average Precision: 66.67%
Recall: 66.67%
Precision: 50.00%
Hmean: 57.14%
Sample: 7
ID: 00007
Average Precision: 39.88%
Recall: 75.00%
Precision: 42.86%
Hmean: 54.55%
Sample: 8
ID: 00008
Average Precision: 63.64%
Recall: 63.64%
Precision: 87.50%
Hmean: 73.68%
Sample: 9
ID: 00009
Average Precision: 72.82%
Recall: 76.81%
Precision: 92.98%
Hmean: 84.13%
Sample: 10
ID: 00010
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 11
ID: 00011
Average Precision: 59.17%
Precision: 83.33%
Hmean: 83.33%
Sample: 12
ID: 00012
Average Precision: 59.60%
Recall: 90.00%
Precision: 81.82%
Hmean: 85.71%
Sample: 13
ID: 00013
Average Precision: 53.13%
Precision: 62.50%
Hmean: 64.52%
Sample: 14
ID: 00014
Average Precision: 29.41%
Recall: 29.41%
Hmean: 45.45%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 78.57%
Recall: 78.57%
Hmean: 88.00%
Sample: 17
ID: 00017
Average Precision: 67.92%
Precision: 80.00%
Hmean: 88.89%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Average Precision: 87.34%
Precision: 85.71%
Hmean: 92.31%
Sample: 20
ID: 00020