Comparative Analysis of the WEKA Classifiers Rules Conjunctiverule & Decisiontable on Indian News Dataset by Using Different Test Mode
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 2
Abstract
Classification may refer to categorization, the process in which ideas and objects are recognized, differentiated, and understood. An algorithm that implements classification, especially in a concrete implementation, is known as a classifier. Classification is an important data mining technique with broad applications. It classifies data of various kinds. This paper has been carried out to make a performance evaluation of ConjunctiveRule and DecisionTable classification algorithm. The paper sets out to make comparative evaluation of classifiers rules ConjunctiveRule and DecisionTable in test mode (i) evaluate on training data, (ii) 5-fold cross-validation and (iii)10-fold cross-validation in the context of dataset of Indian news to maximize true positive rate and minimize false positive rate. The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data pre processing tools. The basic way of interacting with these methods is by invoking them from the command line. However, convenient interactive graphical user interfaces are provided for data exploration. These interfaces constitute an advanced environment for experimental data mining.
Authors and Affiliations
Sushilkumar Rameshpant Kalmegh
Keywords
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