• Publications
  • Influence
Classification and regression trees
  • W. Loh
  • Computer Science
  • Wiley Interdiscip. Rev. Data Min. Knowl. Discov.
  • 2011
TLDR
Classification and regression trees are machine‐learning methods for constructing prediction models from data. Expand
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SPLIT SELECTION METHODS FOR CLASSIFICATION TREES
Classification trees based on exhaustive search algorithms tend to be bi- ased towards selecting variables that afford more splits. As a result, such trees should be interpreted with caution. ThisExpand
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A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
TLDR
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the case of trees) number of leaves. Expand
  • 1,108
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REGRESSION TREES WITH UNBIASED VARIABLE SELECTION AND INTERACTION DETECTION
We propose an algorithm for regression tree construction called GUIDE. It is specifically designed to eliminate variable selection bias, a problem that can undermine the reliability of inferencesExpand
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Classification Trees With Unbiased Multiway Splits
Two univariate split methods and one linear combination split method are proposed for the construction of classification trees with multiway splits. Examples are given where the trees are moreExpand
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BOAT—optimistic decision tree construction
TLDR
We introduce a novel optimistic approach to tree construction in which we construct an initial tree using a small subset of the data and refine it to arrive at the final tree. Expand
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Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems
AbstractIntegrated project delivery (IPD) is an emerging construction project delivery system that collaboratively involves key participants very early in the project timeline, often before theExpand
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IMPROVING THE PRECISION OF CLASSIFICATION TREES
  • W. Loh
  • Mathematics
  • 1 December 2009
Besides serving as prediction models, classification trees are useful for finding important predictor variables and identifying interesting subgroups in the data. These functions can be compromisedExpand
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Fifty Years of Classification and Regression Trees
  • W. Loh
  • Mathematics
  • 1 December 2014
type="main" xml:id="insr12016-abs-0001"> Fifty years have passed since the publication of the first regression tree algorithm. New techniques have added capabilities that far surpass those of theExpand
  • 230
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Tree-Structured Classification via Generalized Discriminant Analysis.
Abstract The problem of constructing classification rules that can be represented as decision trees is considered. Each object to be classified has an associated x vector containing possiblyExpand
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