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The number of bootstraps in Random Forest (scikit-learn)

原文 2016-03-08 08:29:03 0 1 python/ scikit-learn/ random-forest

I am using RandomForestRegressor in python scikit-learn.

As I know, random forest algorithm takes random bootstraps samples. But I am not sure how to set and adjust the number of bootstraps.

Is n_estimators the parameter for setting the number of bootstraps? And is there any tips for setting good value of that value?

1 answers

The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if bootstrap=True (default). Take a look here. http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html

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The number of bootstraps in Random Forest (scikit-learn)

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1 answers

solution1 0 2016-03-08 09:40:45

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0 2016-03-08 09:40:45