Alberi di regressione

Alberi di decisione binari per la regressione

Per creare un albero di regressione in modo interattivo, utilizzare l'app Regression Learner. Per una maggiore flessibilità, creare un albero di regressione utilizzando fitrtree dalla riga di comando. Dopo aver creato un albero di regressione, prevedere le risposte passando l'albero e i nuovi dati predittivi a predict.

App

Regression Learner

Train regression models to predict data using supervised machine learning

Blocchi

RegressionTree Predict

Predict responses using regression tree model

Funzioni

espandi tutto

Creazione di un albero di regressione

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

Interpretazione dell'albero di regressione

`lime`	Local interpretable model-agnostic explanations (LIME)
`nodeVariableRange`	Retrieve variable range of decision tree node
`partialDependence`	Compute partial dependence
`permutationImportance`	Predictor importance by permutation (Da 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

Validazione incrociata dell'albero di regressione

`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

Misurazione delle prestazioni

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

Previsione delle risposte

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

Acquisizione delle proprietà dell'albero di regressione

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

Utilizzo delle catene di regressione per la regressione multirisposta

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

Oggetti

`RegressionTree`	Regression tree
`CompactRegressionTree`	Compact regression tree
`RegressionPartitionedModel`	Cross-validated regression model
`RegressionChainEnsemble`	Multiresponse regression model (Da R2024b)
`CompactRegressionChainEnsemble`	Compact multiresponse regression model (Da R2024b)

Argomenti

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®.