本文将介绍oob estimate of error rate和predict结果的概念、计算方法以及应用场景。 oob estimate of error rate是指在无放回抽样中,模型在训练集之外的样本集上的预测误差率。在机器学习中,我们通常会将数据集分成训练集和测试集,然后使用训练集来训练模型,使用测试集来评估模型的性能。但是这种方法忽略了训练集...
oob estimate of error rate oob estimate of error rate An out-of-bag (OOB) estimate of error rate is a method used in random forest algorithm for estimating the accuracy of a model. In this method, a portion of the data is not included in the training process, and instead, is used ...
importance = TRUE, ntree = 500)# Type of random forest: classification# Number of trees: 500# No. of variables tried at each split: 6## OOB estimate oferrorrate: 22.4%# Confusion matrix:# 0 1 class.error# 0
randomForest(formula = Class ~ ., data = Sonar, importance = TRUE, subset = train) Type of random forest: classification Number of trees: 500 No. of variables tried at each split: 7 OOB estimate of error rate: 12.66% Confusion matrix: M R class.error M 82 5 0.05747126 R 15 56 0.21...
我们可以这样⽐比喻随机森林算法：每一棵决策树就是一个精通于某一个窄领域的专家（因为我们 从M个...
Estimate Out-Of-Bag Error Load Fisher's iris data set. loadfisheriris Grow a bag of 100 classification trees. ens = fitcensemble(meas,species,'Method','Bag'); Estimate the out-of-bag classification error. L = oobLoss(ens) L = 0.0400 ...
Estimate Out-Of-Bag Error Copy Code Copy Command Load Fisher's iris data set. Get load fisheriris Grow a bag of 100 classification trees. Get ens = fitcensemble(meas,species,'Method','Bag'); Estimate the out-of-bag classification error. Get L = oobLoss(ens) L = 0.0400 Input...