6.8 Validation and Model Improvement

6.8 Validation and Model Improvement

Validation is used to check how well a model works on new data. It is done after training and testing to confirm model reliability. It prevents models from memorizing data. Validation supports fair evaluation. Model improvement uses feedback from validation results. Weak areas are identified and corrected. Validation is important before real use.

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Validation checks how a model works on new data. It prevents overfitting. Model improvement uses tuning and adjustments. Good validation increases reliability. Strong models perform well in real conditions.