What is a feature in machine learning?
Features are the language models speak.
How It Works:
A feature is an individual measurable property (e.g., age, transaction amount) used as input for training models.
Key Benefits:
- Signal clarity: Good features boost predictive power.
- Model simplicity: Well-engineered features reduce complexity.
- Insightful analysis: Features reveal data patterns.
Real-World Use Cases:
- Customer churn: Features like session frequency.
- Spam detection: Features like email word counts.
FAQs
What's feature engineering?
How many features needed?
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