ID3-based implementation of the ML Decision Tree algorithm
Appears on
Quick read
Latest capture 2026-08-19 03:04
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
5 observed captures since 2026-06-09. Observed captures are shown by default.
Stars from first capture +5
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Impress your boss with interactive Decision Tree visualization
Flexible and Extensible Machine Learning in Ruby
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.
Universal model exchange and serialization format for decision tree forests
