set training to validation ratio

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.

[KSSV]

General procedure is 70% training, 15% validation and 15% testing.

[Ahmed Abdulla]

Thank you for your response, are you aware if this setting can be changed?

Answer 1

[Sahil Jain]

By default, ‘fitrensemble’ does 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’.