Research Article
A Wrapper Feature Subset Selection Method Based on Randomized Search and Multilayer Structure
Algorithm 1
Description of the MLFSSM algorithm.
| | Algorithm: MLFSSM | | | Input: | | | dataset X; | | | input feature set F; | | | Begin | | | For l = 1, …, L | | | Calculate for f ∈ F using equation (1); | | | Calculate posl,f for f ∈ F using equation (3); | | | Generate M · l-layer’s feature subsets by pos values; | | | For m = 1, …, M | | | Construct classification models using ; | | | Endfor; | | | If the accuracy rate of top T · l-layer’s feature subsets reaches 100% | | | Break; | | | Endfor; | | | Return the topmost subset of l-layer; | | | End |
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