igrigorik/decisiontree

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1490 stars · 130 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Ruby library implementing the ID3 decision tree learning algorithm for both continuous and discrete datasets, with rule pruning (C4.5-style) and bagging support. It includes a Graphviz component for visualizing learned trees.

Use cases

• train a decision tree classifier in ruby
• classify records with id3 algorithm
• learn from continuous and discrete datasets
• visualize a decision tree as a png with graphviz
• build a bagging ensemble of decision trees
• convert a trained tree into pruned rules

When to choose

• you're working in Ruby and need a simple, lightweight decision tree classifier
• you want interpretable models with tree visualization via Graphviz
• your dataset is small to medium and you need ID3/C4.5-style learning

When to avoid

• you need modern ML features like gradient boosting, deep learning, or GPU acceleration
• you need actively maintained software with recent updates and security patches
• you're not working in Ruby
• you need scalable training on very large datasets

Facets

library · maturity maintenance

machine-learning machine-learning data-science ruby decision-tree id3 c45 bagging graphviz-visualization classification

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markdown · JSON · MCP: product_card(name="igrigorik/decisiontree")