Property Values (Auto Numeric)

The Auto Numeric node enables you to automatically create and compare different models for continuous (numeric range) outcomes, such as predicting the taxable value of a property. With a single node, you can estimate and compare a set of candidate models and generate a subset of models for further analysis. The node works in the same manner as the Auto Classifier node, but for continuous rather than flag or nominal targets.

The node combines the best of the candidate models into a single aggregated (Ensembled) model nugget. This approach combines the ease of automation with the benefits of combining multiple models, which often yield more accurate predictions than can be gained from any one model.

This example focuses on a fictional municipality responsible for adjusting and assessing real estate taxes. To do this more accurately, they will build a model that predicts property values based on building type, neighborhood, size, and other known factors.

Figure 1. Auto Numeric sample stream
Auto Numeric sample stream

This example uses the stream property_values_numericpredictor.str, installed in the Demos folder under streams. The data file used is property_values_train.sav. See the topic Demos Folder for more information.

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