Showing 1 - 10 of 80
supervised learning. In addition, we investigate the effects of cost sensitive adaptations in CART and boosting and conclude that …
Persistent link: https://www.econbiz.de/10010334218
supervised learning. In addition, we investigate the effects of cost sensitive adaptations in CART and boosting and conclude that …
Persistent link: https://www.econbiz.de/10010250581
In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved...
Persistent link: https://www.econbiz.de/10005450872
In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved...
Persistent link: https://www.econbiz.de/10010731879
regression trees, bagging, random forest, boosting machines and neural networks. Finally, we provide methodologies for analysing …
Persistent link: https://www.econbiz.de/10011625588
Persistent link: https://www.econbiz.de/10012226654
Classification And Regression Tree analysis (CART) method and cross-section econometrics as the identification method. While the …
Persistent link: https://www.econbiz.de/10014494471
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 …
Persistent link: https://www.econbiz.de/10009467192
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 …
Persistent link: https://www.econbiz.de/10009467244
logistic regression (parametric) and one model using Classification and Regression Trees (CART, nonparametric). The models are …
Persistent link: https://www.econbiz.de/10010265990