Tabular Model Training Lab
Train simple models from number columns in a CSV file. Test them on separate rows and compare their scores.
How are the model scores measured?
Choose regression or classification and a target column. The worker trains a linear model and a small random forest on 80% of the rows, then reports scores on the held-out 20% using a fixed seed.
Your result
A little clarity, right here.
Start with your own content or load the example. Your result will appear here.
Three simple steps
How to use Tabular Model Training Lab
Choose your input and adjust the options.
Review the preview and run the tool.
Download the result and keep your original.
Common questions
Good to know
Understand the result.
Keep the original.
Is this tool free, and are my files uploaded?
This tool is free with no account required. When you run the tool, your input goes to a separate processing service. Temporary files are deleted when the job ends. You can download the result to your device.
What are the limits and details?
Use non-sensitive educational datasets with 30–10,000 rows and at most 20 numerical feature columns. Missing values are rejected. Scores on a small split do not establish production performance or suitability for decisions about people.
Limits: one file up to 8 MB; 500,000 characters per text field. One job runs at a time on the worker, with a two-minute limit.