Google AI ModeSep 18, 2026
Auto-sklearn - The classic choice: Built directly on top of the ubiquitous scikit-learn ecosystem
Data as of Oct 16, 2026Based on 18,017 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Auto-sklearn is an automated machine learning toolkit that functions as a drop-in replacement for scikit-learn estimators by automatically handling algorithm selection and hyperparameter tuning.
Hosted on GitHub Pages
<1%
of 18,017 answers across auto-sklearn’s markets · since Jul 5
The market map
Enterprise AutoML Hyperparameter Tuning PlatformsMentioned in
Share of answers in Enterprise AutoML Hyperparameter Tuning Platforms each week · 295 answers since Jul 6
Each engine’s share of its own answers across auto-sklearn’s markets · since Jul 5
This page was cited in 3 AI answers that named auto-sklearn.
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All-time evidence through 2026-10-16.
Review the page on openml.github.io (opens in a new tab)automl.github.io 6%Other sites 94%
Where auto-sklearn ranks in AI
Question: I want to automate the process of finding the best model for my data. What is the best AutoML platform for tabular data?
Google AI ModeSep 10, 2026
Auto-sklearn : Built directly on top of the scikit-learn ecosystem, it applies Bayesian optimization and meta-learning from past datasets
Excerpts where auto-sklearn appeared in the AI's answer
Auto-sklearn - The classic choice: Built directly on top of the ubiquitous scikit-learn ecosystem
Auto-sklearn : Built directly on top of the scikit-learn ecosystem, it applies Bayesian optimization and meta-learning from past datasets