From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model validation

Model validation

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model validation

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Once a model has been trained, validation determines whether it is truly ready for real-world use. Model validation is a process of testing a model on data it has not seen before. It ensures the model learns general patterns instead of memorizing training examples. This step is crucial in cybersecurity, where real-world data changes constantly. Before models are trained, the data that is fed to the model is usually split into training, test, and validation sets. The training set is what the model uses to learn patterns and relationships within the data. The validation set is used to adjust model parameters and monitor performance during training. The test set is used at the end to evaluate how well performs on data it has never seen before. If a model performs very well on the training data but poorly on the validation data, it has likely overfit the training data. This is an important concern in model validation. A model that has overfit is a model that is too closely tailored to the…

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