Classification and Regression by randomForest
Citations
6,047 citations
5,249 citations
5,144 citations
Cites methods from "Classification and Regression by ra..."
...Random forest from Liaw and Wiener (2002): “For each tree, the prediction accuracy on the out-of-bag portion of the data is recorded....
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... Random forest from Liaw and Wiener (2002): “For each tree, the prediction accuracy on the out-of-bag portion of the data is recorded....
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...…and Ripley 1999), nws 1.7.1.0 (Scientific Computing Associates, Inc. 2007), pamr 1.31 (Hastie et al. 2003), party 0.9-96 (Hothorn et al. 2006), pls 2.1-0 (Mevik and Wehrens 2007), randomForest 4.5-25 (Liaw and Wiener 2002), rpart 3.1-39 (Therneau and Atkinson 1997) and SDDA 1.0-3 (Stone 2008)....
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...5-25 (Liaw and Wiener 2002), rpart 3....
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3,368 citations
2,832 citations
Cites methods from "Classification and Regression by ra..."
...Boruta algorithm is a wrapper built around the random forest classification algorithm implemented in the R package randomForest (Liaw and Wiener 2002)....
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References
5,249 citations
"Classification and Regression by ra..." refers background or methods in this paper
...We use the crabs data in MASS4 to demonstrate the unsupervised learning mode of randomForest....
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...• The number of trees necessary for good performance grows with the number of predictors....
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...We scaled the data as suggested on pages 308–309 of MASS4 (also found in lines 28–29 and 63–68 in ‘$R HOME/library/MASS/scripts/ch11....
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...The Forensic Glass data set was used in Chapter 12 of MASS4 (Venables and Ripley, 2002) to illustrate various classification algorithms....
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2,423 citations
155 citations
"Classification and Regression by ra..." refers background in this paper
...We also thank the reviewer for very helpful comments, and pointing out the reference Bylander (2002)....
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...Our experience has been that the OOB estimate of error rate is quite accurate, given that enough trees have been grown (otherwise the OOB estimate can bias upward; see Bylander (2002))....
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