I am trying to use regularization methods for a classification problem, but without neural networks. I searched online and I found that the most famous algorithms are Ridge, Lasso, Elastic net but these are for regressions, and other methods for neural network. Are they any algorithms for my problem using a random forest (using R) ? Thank you
1 Answer
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You can do regularized logistic regression using the glmnet package, e.g., glmnet(..., family="binomial").
And of course the randomForest package allows you to do classification, too.
