Performance of each combination of techniques using three different metrics: CCR, F-Measure and AUC.

For each combination and metric, the mean and standard deviation values are shown. The best performances for each metric are shown in bold. The same capital letters in the superscripts indicate no statistical difference between feature extractors (rows) as the same lower case letters indicate no significant difference between supervised learning techniques (columns).