Sarailidis/Interactive-Decision-Trees
Interactive Construction and Analysis of Decision Trees
This tool helps subject matter experts like scientists or engineers build and analyze decision trees by letting them interactively add their domain knowledge to the model. You input your dataset, and it outputs a refined decision tree that incorporates your expertise, helping you understand complex relationships and make better predictions. It's designed for professionals who want to combine data-driven insights with their deep understanding of a subject.
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Use this if you are a domain expert who wants to guide the construction of a decision tree with your specific knowledge, rather than letting the algorithm learn solely from data.
Not ideal if you are looking for an automated, black-box machine learning solution without human interaction, or if you do not have significant domain expertise to contribute.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Aug 07, 2022
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