منابع مشابه
Probabilistic Characterization of Decision Trees Probabilistic Characterization of Decision Trees
In this paper we use the methodology introduced in Dhurandhar and Dobra (2006) for analyzing the error of classifiers and the model selection measures, to analyze decision tree algorithms. The methodology consists of obtaining parametric expressions for the moments of the Generalization error (GE) for the classification model of interest, followed by plotting these expressions for interpritabil...
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Data mining (DM) techniques are being increasingly used in many modern organizations to retrieve valuable knowledge structures from organizational databases, including data warehouses. An important knowledge structure that can result from data mining activities is the decision tree (DT) that is used for the classi3cation of future events. The induction of the decision tree is done using a super...
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where k is fixed and y is a variable of particular interest. For example x may be customer information for a credit card customer, and y a measure of how credit worthy the customer is. Given a new instance of x we wish to be able to predict the corresponding y. This is essentially a regression problem, though is usually called classification when y is a discrete variable. We call x the independ...
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Decision trees find use in a wide range of application domains. They are used in many different disciplines including diagnosis, cognitive science, artificial intelligence, game theory, engineering and data mining. Decision Trees model has two goals: producing an accurate classifier and understanding the predictive structure of the problem. The classification accuracy of decision trees has been...
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The tree provides a framework for the calculation of the expected value of each available alternative. The alternative with the maximum expected value is the best choice path based on the information and mind-set of the decisionmakers at the time the decision is made. This best choice path indicates the best overall alternative, including the best subsidiary decisions at future decision steps, ...
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ژورنال
عنوان ژورنال: Journal of Statistical Planning and Inference
سال: 2007
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2006.01.011