set training to validation ratio

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Ahmed Abdulla
Ahmed Abdulla on 24 Aug 2021
Answered: Sahil Jain on 30 Aug 2021
I have been using fitrensemble (gradient boosting - LSBoost) to find a model that fits my dataset, however I was wondering if anyone knew how to specify what fraction of the data is for training the machine and what fraction is to validate the model.
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Ahmed Abdulla
Ahmed Abdulla on 24 Aug 2021
Thank you for your response, are you aware if this setting can be changed?

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Answers (1)

Sahil Jain
Sahil Jain on 30 Aug 2021
By default, ‘fitrensembledoes not perform a training/validation split and uses all the provided data as training data. However, multiple cross-validation options are available as name-value pair arguments. These can be found under the Cross-Validation Options on the documentation page of ‘fitrensemble’.

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