Database Reference
In-Depth Information
Figure 9-2. The training and scoring data sets in a
new main process window in RapidMiner.
5)
Run the model and compare the ranges for all attributes between the scoring and training
result set tabs (Figures 9-3 and 9-4, respectively). You should find that the ranges are the
same. As was the case with Linear Regression, the scoring values must all fall within the
lower and upper bounds set by the corresponding values in the training data set. We can
see in Figures 9-3 and 9-4 that this is the case, so our data are very clean, they were
prepared during extraction from Sonia's source database, and we will not need to do
further data preparation in order to filter out observations with inconsistent values or
modify missing values.
Figure 9-3. Meta data for the scoring data set
(note absence of 2nd_Heart_Attack attrtibute).
