How Can The Rmse And Mse Be Used To Gauge Accuracy When Using A Linear Regression Model?
November 25, 2022 ⚊ 1 Min read ⚊ Views 66 ⚊ TECH
Mean Squared Error ( MSE ) is defined as Mean or Average of the square of the difference between actual and estimated values. Root Mean Squared Error is the square root of Mean Squared Error (MSE). This is the same as Mean Squared Error (MSE) but the root of the value is considered while determining the accuracy of the model.
Tags: linear regression algorithm
