MACHINE LEARNING
INTRODUCTION
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

Which metric computes the magnitude of error to measure performance of regression?

MEA


MSE


RMSE


All of these

Explanation:
Detailed explanation1: RMSE is computed by taking the square root of MSE. RMSE is also called the Root Mean Square Deviation. It measures the average magnitude of the errors and is concerned with the deviations from the actual value.
Detailed explanation2: There are three error metrics that are commonly used for evaluating and reporting the performance of a regression model; they are: Mean Squared Error (MSE). Root Mean Squared Error (RMSE). Mean Absolute Error (MAE)
Detailed explanation3: To compute RMSE, calculate the residual (difference between prediction and truth) for each data point, compute the norm of residual for each data point, compute the mean of residuals and take the square root of that mean.
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