Data Mining Classification Techniques to Analyze the TV Market Data

WEKA has expansive capabilities, which include Data Mining Algorithms similar to Random Forest, J48, Multilayer Perceptron, and Naive Bayes. In this paper, trouble has been made to compare the analysis of several categorization systems. A dataset of television request analysis was used as the base for this analysis, which was carried out with the aid of WEKA. Several data mining approaches are applied to the dataset, including J48, naive Bayes, and arbitrary timber. Applying four classifiers while taking the operating system into consideration for the analysis of the television request. Grounded on the accuracy percentage a conclusion is shown in this paper.