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Four different linear models are tested on a hold-out set of data - the followung r-squared values are calculated:

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M1 - r-squared = 0.7801

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M2 - r-squared = 0.8821

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M3 - r-squared = 0.6534

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M4 - r-squared = 0.9030

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Which model is best according to this metric?

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Which of the folloing are terms found in Bayes theorm:

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