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Decision tree

Hello! We are trying to create a Decision tree for a sample data using RapidMiner. The data contains 10 columns. However, the decision tree is categorising based on only one column. Is there any change in the settings which has to be done? If so can someone please let us know? Thanks in advance!!

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Accepted answers

RalfKlinkenberg

Deactivating pruning and pre-pruning can help.
Setting the "minimal gain" parameter of the decision tree learner to a smaller value, e.g. 0.05 or 0.01 usually helps as well.

All comments

Marco_Boeck

Hi,

can you please post your process XML ("View" -> "Show View" -> "XML")? Ideally you also include a link to your data. My guess would be that "minimal gain" or "min leaf size" or "minimal size for split" parameters might be responsible.

Regards,
Marco

RalfKlinkenberg

Deactivating pruning and pre-pruning can help.
Setting the "minimal gain" parameter of the decision tree learner to a smaller value, e.g. 0.05 or 0.01 usually helps as well.