Classifiability Based Pruning of Decision Trees
نویسنده
چکیده
منابع مشابه
Pruning Regression Trees with MDL
Pruning is a method for reducing the error and complexity of induced trees. There are several approaches to pruning decision trees, while regression trees have attracted less attention. We propose a method for pruning regression trees based on the sound foundations of the MDL principle. We develop coding schemes for various constructs and models in the leaves and empirically test the new method...
متن کاملAppears in Ecml-98 as a Research Note a Longer Version Is Available as Ece Tr 98-3, Purdue University Pruning Decision Trees with Misclassiication Costs 1 Pruning Decision Trees
We describe an experimental study of pruning methods for decision tree classiiers when the goal is minimizing loss rather than error. In addition to two common methods for error minimization, CART's cost-complexity pruning and C4.5's error-based pruning, we study the extension of cost-complexity pruning to loss and one pruning variant based on the Laplace correction. We perform an empirical com...
متن کاملEvaluation of liquefaction potential based on CPT results using C4.5 decision tree
The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design decision trees. In this algorithm, a pruning process is carried out to solve the problem of the...
متن کاملA New Pruning Method for Solving Decision Trees and Game Trees
The main goal of this paper is to describe a new pruning method for solving decision trees and game trees. The pruning method for decision trees suggests a slight variant of decision trees that we call scenario trees. In scenario trees, we do not need a conditional probability for each edge emanating from a chance node. Instead, we require a joint probability for each path from the root node to...
متن کاملCC4.5: cost-sensitive decision tree pruning
There are many methods to prune decision trees, but the idea of cost-sensitive pruning has received much less investigation even though additional flexibility and increased performance can be obtained from this method. In this paper, we introduce a cost-sensitive decision tree pruning algorithm called CC4.5 based on the C4.5 algorithm. This algorithm uses the same method as C4.5 to construct th...
متن کامل