使用 Bagging 这种集成学习方式,大概有 37% 的样本是取不到的 (这些取不到的样本被称为 Out-of-Bag),因此可以将这部分没有取到的样本做测试/验证(不需要使用 train_test_split 划分出测试集)。 使用sklearn实现OOB 使用sklearn 实现 Bagging 集成学习,可以通过 oobscore属性来查看使用 Ou
必应词典为您提供out-of-bag的释义,网络释义: 集外;袋外;
可以发现,准确度上升了一些,理论上,子模型数量越多,准确度越高 oob(Out-of-Bag) 可以发现,使用放回取样的时候,会导致有些样本可能根本就取不到,平均有37%的样本是取不到的,这部分样本称为oob(out of bag) 在遇到这种情况的时候,其实可以不使用测试数据集,直接使用放回取样中没有取到的样本部分来作为测试数...
Out-of-bag样本的应用研究
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Out-of-bag estimation - Breiman - 1996 () Citation Context ...milar data sets are created by resampling with replacement (that is, bootstrapping) and regression trees are grown without pruning and averaged, the variance component of the output error is reduced (=-=Breiman 1996-=-a; ...
Out-of-bag classification edge for bagged classification ensemble model collapse all in pageSyntax e = oobEdge(ens) e = oobEdge(ens,Name=Value)Description e = oobEdge(ens) returns the classification edge e for the out-of-bag data in the bagged classification ensemble model ens. example e ...
This MATLAB function computes the misclassification probability (for classification trees) or mean squared error (for regression trees) for out-of-bag observations in the training data, using the trained bagger B.
Extending ensemble based out-of-bag conformal methods using nested sets Cross-conformal, jackknife+, and their K-fold versions perform multiple splits of the data and for every training point(Xi,Yi), a residual functionriis defined using a set of training points that does not include(Xi,Yi)...
mar = oobMargin(B) computes an Nobs-by-NTrees matrix of classification margins for out-of-bag observations in the training data, using the trained bagger B. mar = oobMargin(B,'param1',val1,'param2',val2,...) specifies optional parameter name/value pairs: 'Mode' Character vector or ...