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Better than guessing the average?

A model predicts a lemonade stand’s daily sales. Write fit_score(actual, predicted): one score for the predictions. 1 means perfect; 0 means no better than always guessing the average of actual. Misses are measured as squared errors, as in “How wrong is the forecast?”.

actual sales ($)

Mon	Tue	Wed	Thu
2	4	6	8

predicted

Mon	Tue	Wed	Thu
3	4	5	9

solution.pyLoading Python

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