Ordinal Regression and Classification Algorithms Toolbox

Version 1.2 (10.5 MB) by Pedro Antonio Gutiérrez Peña
Ordinal classification machine learning algorithms
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Updated 29 Jan 2021
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ORCA (Ordinal Regression and Classification Algorithms) is a MATLAB framework including a wide set of ordinal regression methods associated to the paper "Ordinal regression methods: survey and experimental study" published in IEEE Transactions on Knowledge and Data Engineering. ORCA provides implementation and integration of ordinal classification algorithms and performance metrics for ordinal regression. In addition, it helps to accelerate classifier experimental comparison with automatic fold execution, experiment paralellisation and performance reports.

Cite As

Pedro Antonio Gutiérrez Peña (2026). Ordinal Regression and Classification Algorithms Toolbox (https://github.com/ayrna/orca), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Tags Add Tags

doc/addmethod

doc/tutorial/reference-results

doc/tutorial/scripts

src

src/Algorithms

src/Algorithms/SVOREX

src/Algorithms/SVORIM

src/Algorithms/liblinear-2.20/matlab

src/Algorithms/libsvm-rank-2.81/matlab

src/Algorithms/libsvm-weights-3.12/matlab

src/Algorithms/orensemble

src/Measures

src/Utils

src/Utils/+containers

src/code-examples

src/tests/singletests

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.2

Final version submitted to JMLR
1.0.0.0

Checking
Checked with latest Matlab version (R2017b)
Corrected typos in the description
Updated requirements
Corrected changes
Included logo

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.