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There is a new algorithm for binary classification (deepboost) already available in CRAN that it would be interesting to incorporate in caret. Its performance seems to be equivalent to Adaboost or a Logistic Regressión.
There are some minor issues that I noticed with the package but was able to program around them. Note that class probabilities are not computed and the predictors function won't work for this model. Also, in all my testing, the exponential loss function didn't produce models that ever predicted both classes.
Hello,
There is a new algorithm for binary classification (deepboost) already available in CRAN that it would be interesting to incorporate in
caret
. Its performance seems to be equivalent to Adaboost or a Logistic Regressión.https://cloud.r-project.org/web/packages/deepboost/index.html
Thanks,
Carlos.
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