b$)(10$ points$)$ Create a class method called calculateRMSE, that gets as argument two $1D$

numpy numeric arrays named: predictedarray and expectedarray. The first array,

predictedarray, contains predicted values, and the second array, expectedarray, is an

array containing the expected values $($note that these two arrays are in sync$,$ the value

at a given position i from the expectedarray is the expected value for the predicted

value from the predictedarray at the same position i$).$ This method will implement the

RMSE com$[$utstion and return the RMSE value. Note that you need to implement RMSE

$($do not use a library to get the RMSE$).$