Out of bag error in Random Forest sklearn中的RandomForestClassifier有一个参数: oob_score : bool (default=False) Whether to use out-of-bag samples to estimate the generalization accuracy. 中文叫‘袋外误差’,可以看出这个参数的意思是:使用oob来衡量test error. 关于oob的解释,stackoverflow上有比较全...
Mitchell MW (2011) Bias of the Random Forest out-of-bag (OOB) error for certain input parameters . Open Journal of Statistics 1 : 205–211Mitchell MW (2011) Bias of the random forest out-of-bag (oob) error for certain input parameters . Open Journal of Statistics 1 : 205–211Mitchell...
Pruning did not improve the out-of-bag score, so the experiments used the default parameters for pruning of RandomForestRegressor in sklearn27. Incorporation of gold-standard data as priors OutPredict uses prior data to bias the training of the Random Forest model. Specifically, each decision ...