A python implementation of the common CHAID algorithm
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Updated
Oct 3, 2026 - Python
A python implementation of the common CHAID algorithm
SPSS-style CHAID visualization tool with node bar charts and automatic binning.
Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.
A segmentation tool built around CHAID Tree that offer various visualization and insights capabilities.
Survey analytics project using responses from 366 GenAI users to understand what makes people enjoy, trust, shop with, and continue using Gen AI shopping assistants. Used SPSS, CHAID decision trees, reliability analysis, and MLP neural networks.
Prediction de l attrition digitale bancaire (dataset synthetique 100k) avec IBM SPSS Modeler : C5.0, CHAID, QUEST, logistique, reseau de neurones, reseau bayesien. C5.0 retenu (83.82% / AUC 0.893).
Governed decision trees for credit risk — CHAID, C&RT, QUEST with native MRM/IFRS 9
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