The Impact of Feature Selection on the Accuracy of Bayes Classifier
نویسنده
چکیده
In this paper is presented the impact of feature selection on the accuracy of Bayes classifier. Six feature selection techniques have been used for feature selection, evaluated and compared using supervised learning algorithm on eight real and three artificial benchmark data. Accuracy of the classifier is influenced by the choice of feature selection techniques. In our experiment, One-R improves Bayes the most.
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