package orandforest
A random forest classifier based on OC4.5.
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Sources
v1.0.0.tar.gz
md5=c4db62f8692d06e6fe0eea8f7d4d791e
Description
Random forests are an ensemble learning method for classification and regression. Random forests correct decision trees' habit of over-fitting to their training set. Cf. "Breiman, Leo, 2001. Random forests. Machine learning, 45(1), pp.5-32" for details.
Published: 15 Feb 2018
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