Fan-AD - Classifier - Edge Impulse

Every learning block has a threshold. This can be the minimum confidence that a neural network needs to have, or the maximum anomaly score before a sample is tagged as an anomaly. You can configure these thresholds to tweak the sensitivity of these learning blocks. This affects both live classification and model testing.

Classifier

Minimum confidence rating

Should be numeric

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	Name
	MP Massimo Pavan

Configure your target device for model performance calculations, and to enable target specific optimizations.

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