随机森林-概率估计(+ scikit-learn特定) [英] Random Forests - Probability Estimates (+scikit-learn specific)

问题描述

我想了解随机森林是如何计算概率估计的，无论是一般情况还是在Python的scikit-learn库中(在其中，估计的概率均由predict_proba函数返回).

I am interested in understanding how probability estimates are calculated by random forests, both in general and specifically in Python's scikit-learn library (where probability estimated are returned by the predict_proba function).

谢谢， 盖伊

推荐答案

森林返回的概率是集合中树木返回的平均概率(

The probabilities returned by a forest are the mean probabilities returned by the trees in the ensemble (docs). The probabilities returned by a single tree are the normalized class histograms of the leaf a sample lands in.

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