Encyclopedia · 176 concepts

Core ML Concepts · beginner · concept 7 of 176

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

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