Learning curves: Asymptotic values and rate of convergence (original) (raw)
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Satisfiable Experimental Studies on Different Domain of Classifiers in Data Mining
This paper is part of literature review and analysis in our research work on finding a new method in rough classification modeling. We review a novel method of finding the highest accuracy in classification from a given decision system. The work was basically done by Bakar, A. A. in [1]. We will discuss different way of deriving rules in data mining; Using Multi Layer Perceptron (MLP) as Neural Network classifier, Multiple Regression (MR) as Statistical classifier and SIP/DRIP as Rough classifier. We will discuss the general result from our experiment using MLP and MR algorithm in different databases with SIP/DRIP in order to see which algorithm perform best in terms of accuracy of data.
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