Robotics & Artificial Intelligence
In machine learning, testing data is primarily used to:
- train the model for better performance.
- measure model performance on unseen data.
- store training parameters.
- provide labels for training.
Decision making in Machines
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Answer
measure model performance on unseen data.
Reason — Testing data is used after training the model to evaluate how well it performs on new, unseen data. It helps in measuring the accuracy and effectiveness of the model rather than training it.
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