decision tree

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decision tree

[di′sizh·ən ‚trē]
(industrial engineering)
Graphic display of the underlying decision process involved in the introduction of a new product by a manufacturer.

decision tree

A graphical representation of all alternatives in a decision making process.
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The results obtained in this paper by using Decision Tree Algorithm are compared to the results provided by GA MATLAB toolbox, in a real-time case.
Experiments were performed to obtain the required input data for developing a prediction method based on decision tree learning techniques.
A method of choosing multiway partitions for classification and decision trees. J.
Characterization of variable importance measures derived from decision trees. Doctoral dissertation, Universite de Liege, Liege, Belgique.8-12.
Keywords: machine learning, decision trees, naive Bayesian classifier, ReliefF
Logical rule-based methods are decision trees. Models based on mathematical functions include neural networks (supervised learning network) and parametric or semi-parametric models (linear regression, logistics regression, log-linear model generalized linear model, and so on).
In the following parts, results of decision trees method will be discussed.
Random forest is a bagging integrated classifier with CART decision trees as weak classifiers.
The linear methods used include the chi-square, logical regression, decision tree, linear discriminant analysis, and Native Bayes methods.
Given each division's investment opportunities and how risk factors affect payoffs, each division's decision-making process can be represented in a decision tree. Figure 4 shows a representative segment of the decision trees for divisions 1 and 2.

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