Sample: 1
ID: 00001
Average Precision: 25.00%
Recall: 25.00%
Precision: 100.00%
Hmean: 40.00%
Sample: 2
ID: 00002
Average Precision: 54.52%
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%
Hmean: 100.00%
Sample: 5
ID: 00005
Average Precision: 75.00%
Recall: 75.00%
Hmean: 85.71%
Sample: 6
ID: 00006
Average Precision: 34.13%
Recall: 44.44%
Precision: 57.14%
Hmean: 50.00%
Sample: 7
ID: 00007
Average Precision: 49.98%
Recall: 70.59%
Hmean: 72.73%
Sample: 8
ID: 00008
Average Precision: 91.39%
Hmean: 92.31%
Sample: 9
ID: 00009
Average Precision: 63.23%
Sample: 10
ID: 00010
Average Precision: 59.31%
Precision: 72.73%
Hmean: 69.57%
Sample: 11
ID: 00011
Sample: 12
ID: 00012
Sample: 13
ID: 00013
Average Precision: 67.95%
Recall: 77.78%
Precision: 87.50%
Hmean: 82.35%
Sample: 14
ID: 00014
Average Precision: 85.71%
Recall: 85.71%
Sample: 15
ID: 00015
Average Precision: 70.00%
Precision: 60.00%
Sample: 16
ID: 00016
Average Precision: 92.87%
Recall: 93.75%
Precision: 95.74%
Hmean: 94.74%
Sample: 17
ID: 00017
Hmean: 66.67%
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020
Average Precision: 81.00%
Precision: 62.50%
Hmean: 76.92%