Linear Regression, Machine Learning, Deep Learning, Jupyter Notebook, Naem Azam.
This step is particularly important to compare how well different algorithms perform on a particular dataset. For simplicity here, we have chosen the mean square error. There are many such metrics. # Calculating the mean absolute error from sklearn import metrics print('Mean Absolute Error:',