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Results for the Spanish Language using EDA Feature Subset Selection.

Domain:

natural language processing

Record type:

paper
Creator:
AndIdoAitEle
Host:avatar

Performance comparison between four Machine Learning paradigms (IB: Instance Based, ID3: Decision Tree, C4.5: Decision Tree, NB: Naive-Bayes) using EDA-FSS. Mean accuracy obtained in the three phases, for the Basque language, is shown. Results obtained with a standard FSS-Forward approach are also shown.