对于RandomForestClassifier(n_estimators=500, oob_score=True)的一棵树而言,oob概率是37%,但是一共有500颗树,大概率每个样本都会被其中的某一颗树取到。那所有的样本都被取到的情况下,使用的是哪个样本进行计算这个分数的呢?写回答1回答 liuyubobobo 2021-06-24 每棵树,都能根据 oob 的 sample 得到一个预...
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特征越重要，因此，可以根据特征重要性排序，然后选择最佳特征组合；RandomForestClassifier(n_estimators=200,oob_score=True)oob_score : bool (default=False) Whether to use out-of-bag samples to estimate the generalization accuracy.oob_score: bool(默认=False) 是否使⽤袋外样品进⾏估算泛化精度。
So if we repeat the same question but with "3-fold cross-validation", the answer would be the same, which is "generally, the highest the accuracy the merrier, unless you fear to overfit your learning set because someone told you that the true testing samples are of a...
"true" meaning that can be read off and checked for accuracy, or some timeless relationship of the text to the world. (43) ___ such background material inevitably reflects who we are. (44) ___. this does not, however, make interpretation merely relative or even pointles...
每棵树，都能根据 oob 的 sample 得到一个预测结果，这些预测结果的平均值。