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Validation Data
Data used for evaluating the trained AI model and for tuning its non-learnable parameters and its learning process, in order, among other things, to prevent underfitting or overfitting, and to test whether the AI model is correctly learnt.
Related terms
- Training DataData used for training an AI system through fitting its learnable parameters, including the weights of a neural network, to ensure the system can produce…
- Testing DataData used for providing an independent evaluation of the AI system in order to confirm the expected performance of that system before its placing on the…
- Input DataData provided to or directly acquired by an AI system on the basis of which the system produces an output.
- Biometric DataPersonal data resulting from specific technical processing relating to the physical, physiological, or behavioural characteristics of a natural person,…
- Deep FakeAI-generated or manipulated image, audio, or video content that resembles existing persons, objects, places, entities, or events and that falsely appears…
- AI SystemA machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or…
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