A Nonparametric Ensemble Binary Classifier and its Statistical Properties
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In this work, we propose an ensemble of classification trees (CT) and artificial neural networks (ANN). Several statistical properties including universal consistency of the classifier are shown and numerical evidence is provided on a real life data set to assess the performance of the model. Our proposed nonparametric ensemble classifier doesn't suffer from the "curse of dimensionality" and can be used in a wide variety of feature selection cum classification problems. It is also shown that the performance of the proposed model is quite better compared to many other state-of-the-art models used for similar situations.
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