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You are developing a regression model to predict taxi fares from a historical dataset. You need to select two performance metrics to evaluate the regression model.
Which two metrics should you use? Each correct answer presents a complete solution.
A
a Root Mean Square Error value that is low
B
an R-Squared value close to 0
C
an F1 score that is low
D
an R-Squared value close to 1
E
an F1 score that is high
F
a Root Mean Square Error value that is high