Neural Networks - Data Mining for the Masses - page 179

with descriptive names, then drag them and drop them into a new main process window.
Be sure to rename the retrieve objects as Training and Scoring.
2) Add three Set Role operators; two to your training stream and one to your scoring stream.
Use the first in the training stream to set the Player_Name attribute's role to 'id', so it will
not be included in the neural network's prediction calculations. Do the same for the Set
Role attribute in the scoring stream. Finally, use the second Set Role attribute in the
training stream to set the Team_Value attribute as the 'label' for our model. When you are
finished with steps 1 and 2, your process should look like Figure 11-1.
Figure 11-1. Data preparation for neural network analysis.
3) Go ahead and run the model. Use the meta data view for each of the two data sets to
familiarize yourself with the data. Ensure that your special attributes have their roles set as
they should, in accordance with the parameters you configured in step 2 (see Figures 11-2
and 11-3 which show meta data).