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Train/Test Split
From: Train/Test Split•View in lesson →
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How do you know if your model actually works? You can't test it on the same data it learned from—that's like letting a student see the exam answers beforehand. This tool demonstrates the critical practice of splitting data to get an honest measure of model performance.
Validation Data: 10%(auto-calculated)
Training
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Test
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Validation
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Understanding the Splits
- Training (70%): Model learns from this data
- Test (20%): Final evaluation - NEVER touch during development
- Validation (10%): Tune hyperparameters and compare models
Experiment as much as you like; there is no progress to lose.