Database Reference
In-Depth Information
All 59 prospects are now predicitvely categorized. We know how confident RapidMiner is based
on our training data, and Juan can now proceed to…
DEPLOYMENT
Juan wanted to quickly and easily assess these 59 prospects based on their past performance. He
can deploy his model by responding to management with several different outputs from our neural
network. First, he can click twice on the prediction(Team_Value) column heading to bring all of
the Superstars to the top. (Superstar is the last of our values in alphabetical order, so it is first in
reverse alphabetical order).
Figure 11-8. The scoring data set's predicted values, with Superstars sorted to the top.
The ten athletes with superstar potential are now shown at the top. Furthermore, the confidence
for two of them, John Mcguire and Robert Holloway have confidence(Superstar) percentages of
100%. Juan may want to go ahead and quickly recommend that management take a hard look at
these two athletes. Gerald Luna and Ian Tucker are extremely close as well, with only slight
probabilities of being Franchise Players instead of Superstars. Even Franchise Players are athletes
with huge potential upsides, so the risk of pursuing either of these two players is minimal. There
are a couple of others with predicted superstar status and confidences above 90%, so Juan has a
solid list of players to work from.
 
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