2014/02/24 by Joaquin Vanschoren, Vanschoren, Joaquin, Mikio L. Braun +3 · 1 voice · 8 citations
Computer Science · Decision Sciences · #Artificial intelligence #Computer science #Data Analysis with R #Data science #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine learning #Open data #Open science #Open source software #Operating system #Scientific Computing and Data Management #Software #Software engineering #World Wide Web #cs.DL #cs.LG
paper · pdf · open access · doi:10.48550/arxiv.1402.6013
published in TU/e Research Portal
arxiv created 2014/02/24 · openalex publication_date 2014/02/24 · arxiv published 2014/02/24 · arxiv updated 2014/02/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We present OpenML and mldata, open science platforms that provides easy access to machine learning data, software and results to encourage further study and application. They go beyond the more traditional repositories for data sets and software packages in that they allow researchers to also easily share the results they obtained in experiments and to compare their solutions with those of others.