Performance Analysis of Data Mining Classification Techniques: Performance Analysis of Various Data Mining Classification Techniques on Healthcare Data

by Shelly Gupta

The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.

76 pages, Paperback

Published March 20, 2012

About the author

Words have the power to stir your soul and they linger around for quite a while even after you are gone. Words create an impact and an everlasting impression. Choose them wisely!


Born and brought up in the City of Dreams I love to live life to the fullest. A Post Graduate in English Literature and Aesthetics, I have 13 years of work experience in Writing, Editing, Personality Development and Soft Skills Training.
I have worked with prestigious institutes like KC College Churchgate as a Professor.

Writing is my passion and I love to create beautiful stories and heart touching poetry. I have recently launched my first novel 'Can Spring Be Far Behind' which was published by StoryMirror Publication.