The root-mean-squared-error (RMSE) is a measure of the differences between values predicted
by a model or an equation and the actual values. RMSE is defined as: RMSE=n1i=1n(yiyi^)2
where yi is actual data point, yi is the predicted value and n is the number of data points. Write a
function called "rmse" that returns the RMSE and stored it as rmse module.py . The function
receives 2 input arguments: the x and the y vectors representing predicted and actual value of
data points. QUESTION 1.b)[20] Create a Python script called main. py and import the
rmse_module. Write a menu driven program that displays followings: 1- Calculating RMSE 2
Quit This program must ask the user for 5 predicted value and 5 actual data point and display the
RMSE value. Sample output: Menu 1) Calculating RMSE 2) Quit Enter your desired action: 1
Enter the first actual value: 1 Enter the second actual value: 2 Enter the third actual value: 3
Enter the fourth actual value: 4 Enter the fifth actual value: 5 Enter the first predicted value: 1.6
Enter the second predicted value: 2.5 Enter the third predicted value: 2.9 Enter the fourth
predicted value: 3 Enter the fifth predicted value: 4.1 Root Mean Square Error:
0.6971370023173351 Menu 1) Calculating RMSE 2) Quit Enter your desired action: 2.
The root-mean-squared-error (RMSE) is a measure of the differences be.pdf
1. The root-mean-squared-error (RMSE) is a measure of the differences between values predicted
by a model or an equation and the actual values. RMSE is defined as: RMSE=n1i=1n(yiyi^)2
where yi is actual data point, yi is the predicted value and n is the number of data points. Write a
function called "rmse" that returns the RMSE and stored it as rmse module.py . The function
receives 2 input arguments: the x and the y vectors representing predicted and actual value of
data points. QUESTION 1.b)[20] Create a Python script called main. py and import the
rmse_module. Write a menu driven program that displays followings: 1- Calculating RMSE 2
Quit This program must ask the user for 5 predicted value and 5 actual data point and display the
RMSE value. Sample output: Menu 1) Calculating RMSE 2) Quit Enter your desired action: 1
Enter the first actual value: 1 Enter the second actual value: 2 Enter the third actual value: 3
Enter the fourth actual value: 4 Enter the fifth actual value: 5 Enter the first predicted value: 1.6
Enter the second predicted value: 2.5 Enter the third predicted value: 2.9 Enter the fourth
predicted value: 3 Enter the fifth predicted value: 4.1 Root Mean Square Error:
0.6971370023173351 Menu 1) Calculating RMSE 2) Quit Enter your desired action: 2
![The root-mean-squared-error (RMSE) is a measure of the differences between values predicted
by a model or an equation and the actual values. RMSE is defined as: RMSE=n1i=1n(yiyi^)2
where yi is actual data point, yi is the predicted value and n is the number of data points. Write a
function called "rmse" that returns the RMSE and stored it as rmse module.py . The function
receives 2 input arguments: the x and the y vectors representing predicted and actual value of
data points. QUESTION 1.b)[20] Create a Python script called main. py and import the
rmse_module. Write a menu driven program that displays followings: 1- Calculating RMSE 2
Quit This program must ask the user for 5 predicted value and 5 actual data point and display the
RMSE value. Sample output: Menu 1) Calculating RMSE 2) Quit Enter your desired action: 1
Enter the first actual value: 1 Enter the second actual value: 2 Enter the third actual value: 3
Enter the fourth actual value: 4 Enter the fifth actual value: 5 Enter the first predicted value: 1.6
Enter the second predicted value: 2.5 Enter the third predicted value: 2.9 Enter the fourth
predicted value: 3 Enter the fifth predicted value: 4.1 Root Mean Square Error:
0.6971370023173351 Menu 1) Calculating RMSE 2) Quit Enter your desired action: 2](https://image.slidesharecdn.com/theroot-mean-squared-errorrmseisameasureofthedifferencesbe-230330210353-6e905530/85/The-root-mean-squared-error-RMSE-is-a-measure-of-the-differences-be-pdf-1-320.jpg)
