Mining Housing Features to Classify Housing Unit Price

In data mining, classification builds an interdisciplinary field upon from statistics, computer science, mathematics and many other disciplines. There are numerous statistical applications where parametric non-parametric methods frequently used to train estimate mapping function. this study, two of the most widely techniques applied a real dataset. The goal study is compare success ordinal logistic regression trees predict categorical response. For purpose, potential factors affecting housing unit price for sale as being dependent variable with three classes in Eskişehir were examined. set was split into train, validation test groups. performance demonstrated 5-fold cross technique. According results, more successful made algorithm.