Structurally, a model tree is a regression method that takes the form of a decision tree with linear regression functions instead of terminal class values at its leaves. In this study, model trees are coupled with bagging for solving classification problems. In order to apply this regression technique to classification problems, we consider the conditional class probability function and seek a ...

In the e-learning environment we use adaptive assessment based on machine learning technology called regression tree. In the paper we analyse the properties of the regression tree assessment.

This note further explores the Dirichlet-tree distribution developed by Dennis (1991). An inclusion relationship is given for different tree structures and an independence relationship is given for probabilities in the tree. The posterior, evidence, and predictive density are derived for multinomial observations.

Hedonic pricing models attempt to model a relationship between object attributes and the object’s price. Traditional hedonic pricing models are often parametric models that suffer from misspecification. In this paper we create these models by means of boosted CART models. The method is explained in detail and applied to various datasets. Empirically, we find substantial reduction of errors on o...

In this article, we describe the regression test process to test and verify the changes made on software. A developed technique use the automation test based on decision tree and test selection process in order to reduce the testing cost is given. The developed technique is applied to a practical case and the result show its improvement.

Shopping online has become more and more popular. Many people participate in online auctions. Due to the popularity of online auction, this study intends to study the possible factors that affect the transactions in online auction. This study uses the MP3 in the auction of Yahoo! Taiwan as the target and examines several factors that may affect the results. Using logistic regression and decisio...

Available online 11 June 2009

This paper aims at predicting businesses’ past due in service accounts as well as determining the variables that impact the likelihood of repayment. Two binary classification approaches, logistic regression and the decision tree, were conducted and compared. Both approaches have very good performances with respect to the accuracy. However, the decision tree only uses 10 predictors and reaches a...