Machine Learning, Data Science, Predictions, AI, Artificalintelligence.
custom_rmse(y_true, y_pred): squared_sum = 0 # Initiating a squared sum variable equal to 0 # Iterating over y_true and y_pred for true, predicted in zip(y_true, y_pred): # Subtracting predicted from true and squaring the result squared_error = (true - predicted)**2 # Adding the squared error