scikit-learn-C4.5-tree-classifier
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RaczeQ
A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.
The model is very very slow. Any suggestions for improvement?? Thanks in Advance!
Hello, does your decision tree have pruning operation ? In particular，is it possible to apply the pruning parameters in sklearn directly? For example: max_depth、min_samples_leaf & min_samples_split、min_samples_leaf and so on.
https://github.com/RaczeQ/scikit-learn-C4.5-tree-classifier/blob/cd923ff0e3f61ceb5633a96823a9042a72bf09ca/c45/c45.py#L36 Hi Sir. I have tried using cross validation with this directory but i get an error message like this : Cannot clone object C45(attrNames=['sepallengthcm', 'sepalwidthcm', 'petallengthcm', 'petalwidthcm']), as the...
