Load the sample data.
load carsmall
Construct a regression tree using the sample data. The response variable is miles per gallon, MPG.
tree = fitrtree([Weight, Cylinders],MPG,... 'CategoricalPredictors',2,'MinParentSize',20,... 'PredictorNames',{'W','C'})
tree = RegressionTree PredictorNames: {'W' 'C'} ResponseName: 'Y' CategoricalPredictors: 2 ResponseTransform: 'none' NumObservations: 94 Properties, Methods Predict the mileage of 4,000-pound cars with 4, 6, and 8 cylinders.
MPG4Kpred = predict(tree,[4000 4; 4000 6; 4000 8])
MPG4Kpred = 3×1 19.2778 19.2778 14.3889
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