Sample: 1
ID: 00001
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 2
ID: 00002
Average Precision: 16.67%
Recall: 22.22%
Precision: 20.00%
Hmean: 21.05%
Sample: 3
ID: 00003
Average Precision: 66.67%
Recall: 66.67%
Precision: 100.00%
Hmean: 80.00%
Sample: 4
ID: 00004
Average Precision: 100.00%
Recall: 100.00%
Hmean: 100.00%
Sample: 5
ID: 00005
Average Precision: 57.29%
Recall: 58.33%
Precision: 87.50%
Hmean: 70.00%
Sample: 6
ID: 00006
Average Precision: 22.22%
Precision: 66.67%
Hmean: 33.33%
Sample: 7
ID: 00007
Average Precision: 34.45%
Recall: 35.29%
Precision: 85.71%
Hmean: 50.00%
Sample: 8
ID: 00008
Average Precision: 68.70%
Recall: 83.33%
Precision: 76.92%
Sample: 9
ID: 00009
Average Precision: 58.23%
Hmean: 75.00%
Sample: 10
ID: 00010
Average Precision: 30.11%
Recall: 41.67%
Precision: 62.50%
Sample: 11
ID: 00011
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 51.48%
Recall: 55.56%
Precision: 71.43%
Hmean: 62.50%
Sample: 14
ID: 00014
Average Precision: 57.14%
Recall: 57.14%
Precision: 80.00%
Hmean: 66.67%
Sample: 15
ID: 00015
Precision: 60.00%
Sample: 16
ID: 00016
Average Precision: 45.25%
Recall: 45.83%
Precision: 75.86%
Hmean: 57.14%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Average Precision: 79.57%
Recall: 87.50%
Precision: 77.78%
Hmean: 82.35%
Sample: 20
ID: 00020
Average Precision: 80.00%
Recall: 80.00%