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Arbres de régression

R2026a

Arbres de décision binaires pour la régression

Pour construire un arbre de régression de manière interactive, utilisez l’application Regression Learner. Pour plus de flexibilité, construisez-le en utilisant fitrtree en ligne de commande. Une fois l’arbre construit, prédisez les réponses en passant l’arbre et les nouvelles données prédictives à predict.

Applications

Regression Learner

Train regression models to predict data using supervised machine learning

Blocs

RegressionTree Predict

Predict responses using regression tree model

Fonctions

développer tout

Créer un arbre de régression

`fitrtree`	Fit binary decision tree for regression
`compact`	Reduce size of machine learning model
`prune`	Produce sequence of regression subtrees by pruning regression tree

Interpréter un arbre de régression

`lime`	Local interpretable model-agnostic explanations (LIME)
`nodeVariableRange`	Retrieve variable range of decision tree node
`partialDependence`	Compute partial dependence
`permutationImportance`	Predictor importance by permutation (depuis R2024a)
`plotPartialDependence`	Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots
`predictorImportance`	Estimates of predictor importance for regression tree
`surrogateAssociation`	Mean predictive measure of association for surrogate splits in regression tree
`shapley`	Shapley values
`view`	View regression tree

Effectuer une validation croisée d’un arbre de régression

`crossval`	Cross-validate machine learning model
`cvloss`	Regression error by cross-validation for regression tree model
`kfoldfun`	Cross-validate function for regression
`kfoldPredict`	Predict responses for observations in cross-validated regression model
`kfoldLoss`	Loss for cross-validated partitioned regression model

Mesurer les performances

`loss`	Regression error for regression tree model
`resubLoss`	Resubstitution loss for regression tree model

Prédire les réponses

`predict`	Predict responses using regression tree model
`resubPredict`	Predict response of regression tree by resubstitution

Collecter les propriétés d’un arbre de régression

gather Gather properties of Statistics and Machine Learning Toolbox object from GPU

Utiliser des chaînes de régression pour la régression multiréponse

`fitrchains`	Multiresponse regression with regression chains (depuis R2024b)
`compact`	Reduce size of multiresponse regression model (depuis R2024b)
`loss`	Loss for multiresponse regression model (depuis R2024b)
`predict`	Predict responses using multiresponse regression model (depuis R2024b)

Objets

`RegressionTree`	Binary decision tree for regression
`CompactRegressionTree`	Compact regression tree
`RegressionPartitionedModel`	Cross-validated regression model
`RegressionChainEnsemble`	Multiresponse regression model (depuis R2024b)
`CompactRegressionChainEnsemble`	Compact multiresponse regression model (depuis R2024b)

Rubriques

Train Regression Trees Using Regression Learner App
Create and compare regression trees, and export trained models to make predictions for new data.
Supervised Learning Workflow and Algorithms
Understand the steps for supervised learning and the characteristics of nonparametric classification and regression functions.
Decision Trees
Understand decision trees and how to fit them to data.
Growing Decision Trees
To grow decision trees, fitctree and fitrtree apply the standard CART algorithm by default to the training data.
View Decision Tree
Create and view a text or graphic description of a trained decision tree.
Improving Classification Trees and Regression Trees
Tune trees by setting name-value pair arguments in fitctree and fitrtree.
Prediction Using Classification and Regression Trees
Predict class labels or responses using trained classification and regression trees.
Predict Out-of-Sample Responses of Subtrees
Predict responses for new data using a trained regression tree, and then plot the results.
Optimize Regression Tree on Tall Array
Optimize hyperparameters of a regression tree automatically using a tall array.
Predict Responses Using RegressionTree Predict Block
This example shows how to use the RegressionTree Predict block for response prediction in Simulink®.