MATLAB: AdaBoost Regression to Select Predictors

ls boost

Is it possible to use the LSBooost alogorithm to select a subset of appropriate predictor variables in a similar way to the step-wise regression function. I cannot find any examples of using it to select variables (and ideally showing final coefficients?)? Thanks

Best Answer

The fitrensemble function uses the LSBoost algorithm. Then you can use the removeLearners function to remove members of the ensemble, as described in this example:
Also, the Regression Learner and Classification Learner apps allow you to use Principle Component Analysis to train on only the most significant predictor variables.
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