Core ML Concepts · beginner · concept 7 of 311 · Updated Nov 4, 2026
Features & Labels
Features are the input variables (columns) used to make predictions. Labels are the output variable (what you're trying to predict). Feature engineering, crafting good inputs, is often more important than the model choice.
Key terms
Feature vectorTarget variableFeature engineeringFeature selection
Where you meet it in the real world
Any ML system, choosing the right features determines model quality
Videos
▶ Feature Engineering for AI: Transforming Raw Data into Predictions ↗
IBM Technology · YouTube
Guides and articles
Courses, papers, and more
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