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

      Аннотация: 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.

Ключевые слова: Data Mining, classification, KDD, Healthcare Datasets, Machine Learning Tools