Sample: 1
ID: 00001
Average Precision: 59.17%
Recall: 83.33%
Precision: 83.33%
Hmean: 83.33%
Sample: 2
ID: 00002
Average Precision: 46.24%
Recall: 70.83%
Precision: 65.38%
Hmean: 68.00%
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%
Precision: 100.00%
Hmean: 85.71%
Sample: 5
ID: 00005
Average Precision: 83.33%
Hmean: 90.91%
Sample: 6
ID: 00006
Average Precision: 17.78%
Recall: 66.67%
Precision: 33.33%
Hmean: 44.44%
Sample: 7
ID: 00007
Average Precision: 64.29%
Recall: 100.00%
Precision: 57.14%
Hmean: 72.73%
Sample: 8
ID: 00008
Average Precision: 100.00%
Hmean: 100.00%
Sample: 9
ID: 00009
Average Precision: 65.49%
Recall: 81.16%
Precision: 82.35%
Hmean: 81.75%
Sample: 10
ID: 00010
Average Precision: 0.00%
Recall: 0.00%
Precision: 0.00%
Hmean: 0.00%
Sample: 11
ID: 00011
Average Precision: 32.86%
Hmean: 61.54%
Sample: 12
ID: 00012
Average Precision: 61.27%
Recall: 90.00%
Precision: 75.00%
Hmean: 81.82%
Sample: 13
ID: 00013
Average Precision: 51.31%
Recall: 60.00%
Precision: 69.23%
Hmean: 64.29%
Sample: 14
ID: 00014
Average Precision: 29.90%
Recall: 41.18%
Precision: 46.67%
Hmean: 43.75%
Sample: 15
ID: 00015
Sample: 16
ID: 00016
Average Precision: 76.36%
Recall: 85.71%
Precision: 85.71%
Sample: 17
ID: 00017
Sample: 18
ID: 00018
Sample: 19
ID: 00019
Sample: 20
ID: 00020