Question: In a supervised learning problem, what does the model learn from the training data? * Mandatory Patterns and relationships between features Clusters and groupings within

In a supervised learning problem, what does the model learn from the training data?
*Mandatory
Patterns and relationships between features
Clusters and groupings within the data
An optimal decision boundary
The probability distribution of the features

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