Abstract Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

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Contains notebooks for blog posts - mostly on machine learning and financial engineering - financial-engineering/Coding custom decision tree algorithm (modified CART) - part 4 - Assembling trees.ipynb ...

Classification and Regression decision-Tree (CART) algorithm for multiclass classification of PCNSLs, GBMs and METs The CART decision-tree model successfully classified the 3 tumor types in our cohort ...

This paper points out that the insignificancy of ID3 and C4.5 algorithms used in the intrusion detection application, and the CART algorithm based on dichotomy is used to simplify the decision tree ...

This paper points out that the insignificancy of ID3 and C4.5 algorithms used in the intrusion detection application, and the CART algorithm based on dichotomy is used to simplify the decision tree ...

Decision Trees (DT) are popular machine learning models applied to both classification and regression tasks with known training algorithms such as CART [6], C4.5 [7], and boosted trees [8]. With fewer ...