Computer scienceData scienceMachine learningRegressionRegression metrics

MSE and RMSE

Theory

Calculating the MSE

Report a typo

You are given the following dataset:

xx yy y^\hat{y}
0 3.6 4
1 4 4.4
2 4.2 4.8
3 4.5 5.2
4 6.1 5.6
5 5.8 6
6 6 6.4
7 6.3 6.8

Calculate the mean squared error. Round up the answer up to the 3rd decimal place.

yy and y^\hat{y} values as Python lists 
y = [3.6, 4, 4.2, 4.5, 6.1, 5.8, 6, 6.3]
y_hat = [4, 4.4, 4.8, 5.2, 5.6, 6, 6.4, 6.8]
Enter a number
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