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 Figure 2: Comparison of 10 Widely Used Prediction Methods

Description
              *From the article "The Pitfalls of Prediction," February 26, 2013.*

Method
			Model performance (cross-entropy)Boosting
			0.896Random Forests
			0.892Bagging
			0.882Support Vector Machines
			0.862Neural Networks
			0.846K-nearest Neighbors
			0.815Additive
			0.791Decision Trees
			0.706Linear Regression
			0.685Naive Bayes Classifier
			0.650For more information on these prediction models, see Caruana, Rich, and Alexandru Niculescu-Mizil, "An Empirical Comparison of Supervised Learning Algorithms Using Different Performance Metrics," in *Proceedings of the 23rd International Conference on Machine Learning,* New York: Association for Computing Machinery, 2006: 161–168.
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