You are analyzing a dataset containing historical data from a local taxi company. You arc developing a regression a regression model.
You must predict the fare of a taxi trip.
You need to select performance metrics to correctly evaluate the- regression model.
Which two metrics can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A . an F1 score that is high
B . an R Squared value dose to 1
C . an R-Squared value close to 0
D . a Root Mean Square Error value that is high
E . a Root Mean Square Error value that is low
F . an F 1 score that is low.
Answer: B,E
Explanation:
Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model