Regression model for Quality of Web Services dataset with WEKA

The Waikato Environment for Knowledge Analysis (WEKA) came about through the perceived nee d for a unified workbench that would allow researchers easy access to state-of the-art techniques in machine le arning algorithms for data mining tasks. It provides a general-purpos e environment for automatic classification, regressi on, clustering, and feature selection etc. in various research areas. T his paper provides an introduction to the WEKA workbench and briefly discusses regression model for some of the quality of web service parameters.