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Test and fine-tune your on-device model performance by analyzing your model’s False Activation Rate (FAR) and False Rejection Rate (FRR) on a continuous real-world or synthetic stream of data. It is designed to provide an immediate understanding of how your model is expected to perform in the field.



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