How is actual and typical values computed in machine learning?

Need help pls.

The actual value is from the raw data itself (the data ML is analyzing). The typical value is the highest probable value from the internal statistical model that ML has constructed for that data set.

Perhaps a basic introductory video on ML would be helpful.

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