Best machine learning algorithm for binary classification in R

Hello,

I am a new R learner. I am trying to develop a binary classification model with outcomes as 0, and 1. Which machine learning algorithm would be the best? I have 18 variables and more than 100,000 observations.

I would try xgboost.

I have variables of different classes such as character and integer.

Yes, I would assume so.

There are some interesting analyses on this topic in this paper.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.