Table 5 Subset evaluation. Accuracies by learning algorithms with default parameters set by WEKA and best data subset by combination (Column 3) and Feature selection method (column 5) are listed above
Algorithms | Best combination Subsets (from complete dataset) | Accuracy | Feature selection subsets | Accuracy |
|---|---|---|---|---|
bayes_NaiveBayesUpdateable | 1,6,7,9 | 96.67 | Cfs 1,2,3,6,7,9 | 96.67 |
functions_smo_npolyk | 1,2,4,6,7,9 | 98.00 | PCA 1,2,3,4,5,6,7,8 | 97.00 |
rules_DecisionTable | 6,7,9 | 96.00 | Cfs 1,2,3,6,7,9 | 96.00 |
functions_mlp | 1,2,4,6,7,9 | 98.33 | Cfs 1,2,3,6,7,9 | 96.67 |
bayes_nbay | 1,6,7,9 | 96.67 | Cfs 1,2,3,6,7,9 | 96.67 |
trees_j48 | 1,2,4,6,9 | 97.67 | PCA 1,2,3,4,5,6,7,8 | 97.00 |