Evaluating Performance of Data Mining Classification Algorithm in Weka
Nikhil Salvithal, Raj B. Kulkarni · 2013
Data mining is a technique that uses different types of algorithms to find relationships and trends in large datasets to promote decision support. The data sizes accumulated from various fields are exponentially increasing; data mining techniques that extract information from large amount of data have become popular in commercial and scientific domains, including sales, marketing, customer relationship management, quality management. The aim of this paper is to judge the performance of different data mining classification algorithms on various datasets. The performance analysis depends on many factors test mode, different nature of data sets, type of class and size of data set.