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What are the machine learning classifiers that can handle directly categorical data
Contributor II
What are the machine learning classifiers, rather than DT, that can handle both numerical variables and categorical predictors (without converting them to numerical data).
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tftemme
Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, RMResearcher, Member Posts: 164 
RM Research
Hi @summer_helmi,
We (RapidMiner) have a helpful model selection app, for exactly this kind of questions: https://mod.rapidminer.com/#app
You can select some properties of your data (for example the data types you have) and it provides you with a selection of applicable machine learning algorithms. Please also have a look at the Docs of the algorithms.
If you are already running RapidMiner, you can also press F1 on a machine learning operator to see the Capabilities of an operator.
Best regards,
Fabian7
Answers
Most of the tree based algorithms and Naive bayes will deal with categorical data. There is also a variant of KNN that can handle this type of data.
Varun
https://www.varunmandalapu.com/
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