Machine Learning, Data Science, Predictions, AI, Artificalintelligence.
zip(y_true, y_pred): # Computing the differences(i.e., errors) error = true - predicted # Obtaining the absolute value if error < 0: # If the difference is a negative number, error = -error # We obtain the negative of the negative, which is a positive number absolute_errors.append(error) # Adding