Ensemble Data Classification based on Decision Tree, Artificial Neuron Network and Support Vector Machine Weighting Classifier by Adaboost

Abstract

In this research we propose an ensemble classification technique based on decision tree, artificial neural network, and support vector machine models weighting classifier by adaboost in order to increase classification accuracy Testing Diabites data from UCI, classification accuracy tests on Diabites Data found that the proposed ensemble classification models weighting classifier by Adaboost yields better performance than that of single model with the same type of classifier. The result as follows, Diabites Data achieved the best performance with 75.21%