WeltXing/PyDT
决策树分类与回归模型的实现和可视化
This tool helps data analysts and researchers build and visualize decision tree models. You input your datasets, which can include both numerical and categorical data, to classify items or predict numerical values. The output is a trained decision tree model that can make predictions, along with a visual diagram of the decision-making process.
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Use this if you need to build interpretable classification or regression models from your data and want to clearly see the decision rules.
Not ideal if you require highly complex models where interpretability is less critical than raw predictive power, or if you need a solution beyond basic decision tree algorithms.
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Python
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Last pushed
Oct 13, 2021
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