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

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 sameposition $i).$ This method will implement the

MAE calculation and return the MAE value. Note that you need to implement MAE $($do

not use a library to get the MAE$).$