AutoML — Complete Guide
AutoML — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.
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ML.NET Tutorial · Lesson 71 of 100
AutoML
Foundations ✓ → Models ✓ → NLP & advanced → MLOps
NLP & advanced · 3 — Recs, text, ONNX · ~10 min · Module 8: Advanced ML.NET
What is this?
AutoML sweeps trainers and hyperparameters automatically to find a strong baseline model.
Why should you care?
AIPredict pilots use AutoML to compare fraud and forecast trainers without manual grid search.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
var experiment = ml.Auto().CreateBinaryClassificationExperiment(maxExperimentTimeInSeconds: 120);
var result = experiment.Execute(train, labelColumnName: "IsFraud");
Console.WriteLine($"Best trainer: {result.BestRun.TrainerName} AUC={result.BestRun.ValidationMetrics.AreaUnderRocCurve:F3}");
ml.Model.Save(result.BestRun.Model, train.Schema, "models/fraud-automl.zip");What happened?
- Time-box experiments.
- Promote BestRun only after holdout evaluation — AutoML can overfit small sets.
Practice next
- CreateBinaryClassificationExperiment.
- Execute with time limit.
- Save BestRun zip.
- Try RegressionExperiment for sales.
- Extend time budget to 300s.
Remember
Timed experiment. BestRun candidate. Holdout before prod.
AIPredict AutoML fraud
Two-hour sprint finds FastForest beat manual Sdca.
Outcome: Baseline model without hand tuning.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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