Bayesian Decision ... provides the algorithms to construct the greedy-modal tree (GMT). Section 4 benchmarks the GMT vs. common techniques showing that the GMT works well for various publicly ...

is a good example to learn how a basic machine learning algorithm works. The inputdata.py is used by the createTree algorithm to generate a simple decision tree that can be used for prediction ...

Decision Tree is the simple but powerful classification algorithm of machine learning where a tree or graph-like structure is constructed to display algorithms and reach possible consequences of a ...

Abstract: Data mining is the process of discovering large data sets and revealing hidden laws. This paper aims to study the intelligent application analysis of computer science and technology based on ...

The regression framework and Decision Tree (DT)-classifier are trained using the labeled academic history data of the student (30 optimal characteristics). In order to maximize the decision tree ...