rml-decisiontrees

Decision Tree Library

An implementation of decision trees for classification in Racket machine learning.

Racket Machine Learning - Decision Trees

GitHub

4 stars
1 watching
2 forks
Language: Racket
last commit: 5 months ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
johnstonskj/rml-core A Racket module for managing machine learning datasets and providing interfaces to various classification algorithms. 13
bensadeghi/decisiontree.jl A Julia package implementing popular machine learning algorithms 8
igrigorik/decisiontree An implementation of the ID3 algorithm for building decision trees 1,439
greenfish77/gaenari A C++ library implementing incremental decision tree learning with support for concept drift and online learning to improve model accuracy over time. 25
sgrodriguez/ddt A Go-based decision tree library allowing custom rule-based decision making 37
johnstonskj/rml-knn An implementation of a k-Nearest Neighbor algorithm for classification in Racket. 1
doubleplusplus/incremental_decision_tree-cart-random_forest An implementation of incremental decision tree algorithms and ensemble methods for efficient machine learning on streaming data 100
serengil/chefboost A Python library providing a lightweight framework for building decision trees with categorical feature support 460
grantmcdermott/parttree A tool for visualizing decision tree partitions in R using ggplot2. 93
pzuh/decisiontree An implementation of a binary decision tree using ActionScript 3.0 for AI bot/agent in video games. 3
florentavellaneda/inferdt This C++ project provides an implementation of decision tree algorithms for classification tasks 7
serendipious/nodejs-decision-tree A Node.js implementation of a decision tree using the ID3 algorithm for classification 210
aia-uclouvain/pydl8.5 An algorithm for inferring optimal binary decision trees in C++ and wrapped by a Python interface 61
ewingkang/dubins-rrt-for-matlab A path planning algorithm using a randomized tree approach with Dubins curves and collision checking. 46
danielsdeleo/decider A flexible and extensible machine learning library for Ruby 385