How to optimize hyperparameters for fitcensemble using a customized maximize function?

Hi, I have been using fitcensemble method to minimize objective function by default, as I can get the minimum objective result from mdl, which is a ClassificationEnsemble

mdl = fitcensemble(XTrain,yTrain,...
    'OptimizeHyperparameters',auto,... 
    'Learners',template, ...
    'HyperparameterOptimizationOptions',hyperoptsOptions,...
    'ScoreTransform','logit',... 
    'CategoricalPredictors', isCategoricalPredictor,...
    'PredictorNames', predictorNames);

minObj = mdl.HyperparameterOptimizationResults.MinObjective;

Is it possible to get a customized maximize function from fitcensemble function?. If yes, could you provide me an example please?

Thank you

[Alan Weiss]

I do not understand what you are trying to do. fitcensemble tries to fit a classification ensemble by minimizing an error. What sense would it make to maximize an error?

Alan Weiss

MATLAB mathematical toolbox documentation

[Yean Lim]

Hi I want to maximize a customised accuracy definition from the model given by the fitcensemble

Answer 1

[Alan Weiss]

I am not sure, but maybe you can use the fitcensemble 'Cost' name-value argument. Give the negative of your customized accuracy measure in order that fitcensemble will look for a maximum. Or maybe give a constant minus the customized accuracy where you choose the constant so that the cost will always be positive, but not too large so that the differences still matter.

Alan Weiss

MATLAB mathematical toolbox documentation