set training to validation ratio
1 view (last 30 days)
Show older comments
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.
2 Comments
Answers (1)
Sahil Jain
on 30 Aug 2021
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’.
0 Comments
See Also
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!