Discriminate Analysis versus Random Forests on Qualitative data: Contingent Valuation Method applied to Seine Estuary wetlands
Two methods of classification were implemented: Discriminant Analysis and Random Forests, with the aim of comparing their performances in terms of classification. Our results for this survey show that Discriminant Analysis gives better predictions than Random Forests.
This deserves mention because in previous comparative studies (with methods other than Discriminant Analysis), Random Forests had consistently been shown to be superior to the other methods. These results need further investigation.
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