How do I find the parameters in discriminant learner of ensemble classification?

2 min readApr 13, 2022

I am using the classification app to decode some information. I extracted code and found the following parameters gave me a good accuracy.

classificationEnsemble = fitcensemble(...
    predictors, ...
    response, ...
    'Method', 'Subspace', ...
    'NumLearningCycles', 30, ...
    'Learners', 'discriminant', ...
    'NPredToSample', subspaceDimension, ...
    'ClassNames', [1; 2; 3; 4]);

I know that there are many different discriminant type such as linear or quadratic. And there are hyperparameters such as delta and gamma.

I would like to know how can I find the exact settings of the discriminant learner in the model generated by above code.

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The property

classificationEnsemble.Trained

Contains the 30 individual Disciminant models that make up your ensemble. You can look at their parameters indviidually, for example:

classificationEnsemble.Trained{1}.Mu

Tip: you can call ‘help’ on an object to see all the properties and methods on it. In this case, it shows that there’s a Trained property:

help classificationEnsemble

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