Polynomial Regression & Performance Measurement

Polynomial Regression is a type of regression analysis and a statistical technique that models the relationship between a dependent and one or more independent variables. It models the both linear and non-linear relationship between variables. The polynomial regression creates a best fit. This also minimizes the distance between actual and predicted values which makes it to the best fit.

The performance measurement tells the level or state of the model accuracy of prediction during the training data phase. In this regression the parameters considered for the performance measurement is the Root Mean Square and Mean Square Error.

The mathematical formula for MSE is 1/n * sum((y_pred-y_actual)^2)

The MSE utilized to minimize during model training. Lesser the MSE value results the higher accuracy.

The mathematical formula for RMSE is sqrt(MSE).

Lower the RMSE value greater the accuracy.