MATLAB: How to prepare the data for Classification learner Toolbox

classification learner toolboxMATLAB

Hello
I would like to ask in respect of Classification Learner how many data sets should I have. Should I have data set for training and an other for testing or is it pssible to train on 10% of data and then test all population? Is it possible to do training and testing within toolbox window or I have to export model to workspace and test it separatly?
Thanks a lot!
Helen

Best Answer

You can refer Holdout Validation scheme , where you can select the percentage of data to use as a test set while training. But the final model is always trained using full data set. To explicitly test the model, you can export the model to Workspace and make predictions on new data. For more information about exporting the model refer this link
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