← Back to search
github Active

Repository profile

igrigorik/decisiontree

ID3-based implementation of the ML Decision Tree algorithm

Ruby master Stack scanned README.md
Stars
1,487
Forks
130
Watchers
37
Issues
10
Commits
71
Awesome lists
1

Repository updates

Follow repository updates

Get generated igrigorik/decisiontree development summaries by email, or follow the weekly and monthly RSS feeds.

Sign in to subscribe by email. RSS feeds are public.

Sign in to subscribe

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-07-24 03:02

Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
Stars since baseline
+3
Snapshot coverage
4

Tracked growth

4 captures since 2026-06-09

Stars from baseline +3

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-24 03:02

Stack signals
0
Package managers
1
Manifest files
2
Dependencies
0

Frameworks and tools

  • No framework dependencies detected.
Bundler ruby

Dependency files

2 manifests
  • decisiontree.gemspec ruby ecosystem, 0 dependencies
  • Gemfile ruby ecosystem, 0 dependencies

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
4
Tags
0
Stacks
0

Generated tags

No generated tags yet.

Stack labels

No stack labels yet.

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

0 paths
No AI development config files detected.

Similar repositories

Nearest indexed repositories by embedding similarity.

mljar/supertree

Impress your boss with interactive Decision Tree visualization

665 stars
JavaScript 0 awesome lists

danielsdeleo/Decider

Flexible and Extensible Machine Learning in Ruby

383 stars
Ruby 1 awesome list

tmadl/sklearn-expertsys

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

491 stars
Python 1 awesome list

tensorflow/decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

693 stars
Python 1 awesome list

decisionnode/DecisionNode

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.

80 stars
TypeScript 1 awesome list

dmlc/treelite

Universal model exchange and serialization format for decision tree forests

823 stars
C++ 1 awesome list

Metadata

Language
Ruby
License
n/a
Default branch
master
Created
2009-02-23
First commit
2009-02-23
Last pushed
2018-10-31
GitHub updated
2026-07-15
Last synced
2026-07-24 03:02
Stack detected
2026-07-24 03:02
Archived
no

Appears in

1