Research Article
Ensemble Merit Merge Feature Selection for Enhanced Multinomial Classification in Alzheimer’s Dementia
Table 4
Results with the maximal feature subset obtained by divide and merge feature selection technique.
| Classifier | Normal class | Dementia |
Mild Cognitive Impairment | Acc | Pre | Rec | Acc | Pre | Rec | Acc | Pre | Rec |
| J48 | 0.963 | 0.963 | 0.963 | 0.978 | 0.953 | 0.967 | 0.966 | 0.968 | 0.987 | J48-TT | 0.983 | 0.972 | 0.977 | 0.986 | 0.973 | 0.963 | 0.977 | 0.976 | 0.977 | J48-CV | 0.965 | 0.954 | 0.945 | 0.966 | 0.956 | 0.955 | 0.964 | 0.954 | 0.945 |
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TT: training and testing; CV: cross validation.
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