receiver operating characteristic (ROC) curve (AUC) to choose the appropriate penalty parameter as opposed to the conventional … generalized cross-validation criterion. The model selected by the AUC criterion is shown to have better predictive accuracy while …

test. The area under the ROC curve (AUC) is the most widely used measure for summarizing the ability of a continuous …, one can directly estimate the AUC nonparametrically using the Wilcoxon statistic. In the presence of verification bias, it … is common to estimate the AUC from a bias-corrected ROC curve. The variance of the estimator, however, does not have a …

This study gives an outline of modern theory of classification and regression trees (CART) and shows the advantages of … CART applications in finance. Practical issues regarding CART applications and core implementation are presented. The … second part of the work is mainly concentrated on DAX30 market simulation results and shows how a CART-based business …

This master thesis is devoted to Classification and Regression Trees (CART). CART is classification method which uses … the thesis describes fundamental principles of tree construction, different splitting algorithms and pruning procedures …. Second part of the paper answers the questions why should we use or should not use the CART method. Advantages and weaknesses …

using time series zero-inflated Poisson (ZIP) and classification and regression tree (CART) models. Data on weather … Meteorology, Queensland Department of Health, and Australian Bureau of Statistics, respectively. Both time series ZIP and CART …) and cryptosporidiosis disease. The time series CART models indicated that, when weekly maximum temperature exceeded 31?C …