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What are the machine learning classifiers that can handle directly categorical data
SA_H
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
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,
Fabian
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varunm1
Hello
@summer_helmi
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.
tftemme
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,
Fabian
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