How to apply Cross validation while using treeBagger

How can I apply cross-validation when using a TreeBagger model in MATLAB? I’d like to know the best way to implement cross-validation in MATLAB with TreeBagger and whether there are specific functions or configurations that simplify this process. Could you provide guidance on using crossval or other methods to achieve cross-validation with TreeBagger for reliable performance evaluation?

Answer 1

[Gayatri]

Hi Vedant,

You can apply cross-validation to TreeBagger using the 'crossval' function.

You can create a function for training a TreeBagger model and making predictions, as shown below:

function mpgMean = reg(X, Y, Xtest)
    Mdl = TreeBagger(100, X, Y, 'Method', 'regression');
    mpgMean = predict(Mdl, Xtest);
end

Then, you can use crossval on reg as follows:

>> mse = crossval('mse', XData, YData, 'Predfun', @reg, 'kfold', 10);

Please refer the following documentation for 'crossval' function: https://www.mathworks.com/help/stats/crossval.html