Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Data Visualization.
team. Residual analysis Residuals refer to the difference between the recorded value of a dependent variable and the predicted value of a dependent variable for every row in a data set. In theory, the residuals of a well-fit model should be randomly distributed because good models will account for