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- Classification is used when you want to identify a sample as belonging to one particular grouping. It requires the number of possible outputs to be a discrete number. For example, classification is used if you want to determine if a picture is of a dog or a cat (2 possible outputs).
- Regression is used to predict a continuous value based on the input data. For example, predicting the price of a house based on location, average neighborhood sell price, etc.
Getting started with classical ML
To start, select the Classification learning block when building your impulse.Classical ML models are also available for Regression.

Select the classifier learning block

Classical ML models available in Edge Impulse

Training a classical ML model in Edge Impulse
Note that Expert mode is not available for classical ML models.

Training a classical ML model in Edge Impulse