Hi,
It says in the statistics toolbox documentation:Classification trees give responses that are nominal, such as 'true' or 'false'. Regression trees give numeric responses. I am trying to build a decision tree. I am working with numeric (output) and non-numeric data(inputs).I think the classification tree would be more appropriate than the regression tree, or (as the regression tree seems to work just with numeric data). Is it possible to use non-numeric data in order to predict numeric data?And if so, how could I do this with the help of the statistics toolbox?Would Classificationtree.fit be the right choice?
Thank you 🙂
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