You have developed two regression models to predict a company's monthly sales. Model A has a Mean Absolute Error (MAE) of ₴10,000 and an R-squared of 0.77. Model B has a Mean Absolute Error of ₴12,000 and an R-squared of 0.80. Which model would you choose for deployment?

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Model B, because a higher R-squared means it explains more variance in the data

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Model A, because a lower MAE indicates better prediction accuracy on average

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Model B, because higher R-squared always indicates a better model

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Neither, because both models have significant trade-offs and need further tuning

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You have developed two regression models to predict a company's monthly sales. M...

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