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Open AccessComputer ScienceMathematics

Random Forests

L. Breiman

2001MACHINE LEARNING

DOI: 10.1023/a:1010933404324

tlooto Summary

Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.

Abstract

Abstract is not available.

Citation format

BREIMAN, L. Random forests. MACHINE LEARNING, 2001, 45: 5–32.