Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner. However, many data mining tools are available on the market each having their pros and cons in terms of reliability, usability, security, and performance. This paper presents a comparative study on the recent data mining tools for platform dependency. They are mainly SEE5 and C5.0. The testing is done by implementing a sample application by using these tools. This would pave the way to build a head-to-head comparative evaluation that shows the important feature that is comprehensibility of these tools which make them different from other data mining tools.