The Empirical comparison of decision tree approaches with classification task for finding graduate employment status
| Author(s) | : | Bangsuk Jantawan, Cheng-Fa Tsai |
| Institution | : | 1Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology Pingtung |
| Published In | : | Vol. 1, Issue 6 — June 2014 |
| Page No. | : | 166-173 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Classification task is one of the most useful techniques in data mining, which is tofind out meaningful and useful pattern in large volumes of data. For classification task,Decision tree approaches are the most commonly used because of its facility ofimplementation and easy to understand. The study purpose various approaches available forclassification like J48, Simple Cart, Random Forest, LAD Tree, REP Tree, Decision Stumpetc. The research we introduce eight algorithms from them. We take graduates dataset inacademic year of 2011 Maejo University Thailand. Implement theses algorithms in graduatedataset and compare TP-rate, Fp-rate, Precision, Recall and ROC Curve parameter.
Bangsuk Jantawan, Cheng-Fa Tsai, “The Empirical comparison of decision tree approaches with classification task for finding graduate employment status”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 6, pp. 166-173, June 2014.
