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You are a data scientist creating a linear regression model. You need to determine how closely the data fits the regression line. Which metric should you review?
Correct Answer: A
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect. References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model