Regression Model Residual Plot

A residual is the difference between the actual value and the predicted value for a model. If the predictions of a model are perfect, then the residuals are all 0. In most situations, there will be cases for which the predicted value is more accurate and cases for which the predicted value is less accurate. The residual plot lets helps you identify such cases.

The residuals plot is a scatter plot where the x-axis is the predicted value and the y-axis is the residual.

Click Result in the Residual Plot step of a regression build activity to see a scatter plot of the residuals, that is, a scatter plot showing the difference between the actual value (in the Test dataset) and the predicted value. Two different graphs are available: the Predicted value on the X-axis or the Actual value on the X-axis. In either case, a dot on the 0 line means an exact prediction, while other dots represent the error.