A data scientist is performing a linear regression and wants to construct a model that explains the most variation in the data. Which of the following should the data scientist maximize when evaluating the regression performance metrics?
In the context of linear regression, R² (coefficient of determination) measures the proportion of the variance in the dependent variable that can be explained by the independent variables in the model. Therefore, maximizing R² is the appropriate goal if you want the model that explains the most variation in the data.
Hence, the correct answer is:
B. R²
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SuntzuLegacy
1 month, 1 week ago