Comments (3)
If dataset is too big, then it may still be processing. What is the size of your dataset?
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I solved it. After changing enableParallelism param False it returned. But now I'am always getting 0 accuracy for 10.000 row 7 column data
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Then chaid cannot work for your dataset.
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Related Issues (20)
- UnboundLocalError: local variable 'subdataset' referenced before assignment HOT 3
- Unreasonable training time when I make a simple change HOT 3
- Getting KeyError: 'Decision' HOT 1
- Q: Are feature engineering tools mixed in for BT, RF, and GB? HOT 2
- 'Series' object has no attribute 'Decision' HOT 2
- Built-in library 'imp' was removed in python 3.12, breaking chefboost HOT 1
- add github actions HOT 1
- add logger HOT 1
- split unit tests into many files HOT 1
- classification returns irrelevant results in else conditions HOT 1
- as a developer, i want to see type hinting of chefboost functions HOT 1
- Python 3.12 issue (no imp module) HOT 1
- Chaid model result always return 0 accuracy HOT 7
- Last available PyPi version is from Feb 15, 2022 thus is missing fixes patched from other issues. HOT 1
- spawn make it unable to run on linux
- Error while fitting the model HOT 7
- Error for model code
- 'Series' object has no attribute 'Decision' HOT 2
- ImportError: Module 'outputs/rules/rules' not found HOT 1
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