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Performance Evaluation of Decision Tree Classifiers on Medical Datasets
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 26 - Number 4 |
| Year of Publication: 2011 |
| Authors: D.Lavanya, Dr. K.Usha Rani |
10.5120/3095-4247
|
D.Lavanya, Dr. K.Usha Rani . Performance Evaluation of Decision Tree Classifiers on Medical Datasets. International Journal of Computer Applications. 26, 4 ( July 2011), 1-4. DOI=10.5120/3095-4247
Abstract
In data mining, classification is one of the significant techniques with applications in fraud detection, Artificial intelligence, Medical Diagnosis and many other fields. Classification of objects based on their features into pre-defined categories is a widely studied problem. Decision trees are very much useful to diagnose a patient problem by the physicians. Decision tree classifiers are used extensively for diagnosis of breast tumour in ultrasonic images, ovarian cancer and heart sound diagnosis. In this paper, performance of decision tree induction classifiers on various medical data sets in terms of accuracy and time complexity are analysed.
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