Train-Test Split
Dividing a dataset into separate portions for training the model and evaluating its performance on unseen data.
Related Concepts
- Validation Set: Explore how Validation Set relates to Train-Test Split
- Test Set: Explore how Test Set relates to Train-Test Split
- Cross-Validation: Explore how Cross-Validation relates to Train-Test Split
Why It Matters
Understanding Train-Test Split is crucial for anyone working with machine learning fundamentals. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Cross-Validation
A technique for assessing model performance by partitioning data into subsets, training on some and validating on others.
Test Set
A final portion of data unseen during training and validation, used for unbiased evaluation of model performance.
Validation Set
A portion of data held out from training, used to tune hyperparameters and monitor overfitting.