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回归树

用于回归的二叉决策树

要以交互方式生成回归树,可以使用回归学习器。为了获得更大的灵活性,可以在命令行中使用 fitrtree 生成回归树。生成回归树后,可将树和新的预测变量数据传递给 predict,以预测响应。

App

回归学习器Train regression models to predict data using supervised machine learning

模块

RegressionTree PredictPredict responses using regression tree model

函数

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fitrtreeFit binary decision tree for regression
compactCompact regression tree
pruneProduce sequence of regression subtrees by pruning
limeLocal interpretable model-agnostic explanations (LIME)
partialDependenceCompute partial dependence
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
predictorImportanceEstimates of predictor importance for regression tree
surrogateAssociationMean predictive measure of association for surrogate splits in regression tree
shapleyShapley values
viewView regression tree
crossvalCross-validated decision tree
cvlossRegression error by cross validation
kfoldfunCross-validate function for regression
kfoldPredictPredict responses for observations in cross-validated regression model
kfoldLossLoss for cross-validated partitioned regression model
lossRegression error
resubLossRegression error by resubstitution
predictPredict responses using regression tree
resubPredictPredict resubstitution response of tree
gatherGather properties of Statistics and Machine Learning Toolbox object from GPU

RegressionTreeRegression tree
CompactRegressionTreeCompact regression tree
RegressionPartitionedModelCross-validated regression model

主题