I am trying to run a decision tree on a binary variable, with event rate around 2% on a 10m population in EM.
The input variables can be continuous, categorical or character. But it is throwing me run time error.
When I had ran it first on a different dataset with 4m population and 1.22% event rate, it ran smooth. I had even much larger set of input variables.
What could be the possible reason? I do not see anything in log.
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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