OpenML

OpenML is a platform that contains a collection of datasets used to evaluate the performance of Automated Machine Learning (AutoML) frameworks on various supervised classification and regression tasks.

Papers using OpenML (5)

A Neurosymbolic Approach to Loop Invariant Generation via Weakest Precondition Reasoning2025Pre-Hoc Predictions in AutoML: Leveraging LLMs to Enhance Model Selection and Benchmarking for Tabular datasets2025An ADMM Based Framework for AutoML Pipeline Configuration2019 · 10 citesCan AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark2020Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars2024