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Return to Design view in RapidMiner. Delete the operators in the scoring stream. Connect the exa port from the Decision Tree operator to the unl
Return to Design view in RapidMiner. Delete the operators in the scoring stream. Connect the exa port from the Decision Tree operator to the unl port on the Apply Model operator. Add a Performance Classification operator to your process. Connect the lab ports between Apply Model and Performance. Output the models performance per to a result set res Accept the Performance operators default parameters.
Using the criterion parameter for the Decision Tree operator, run the process four times, once for each of the first four criterion algorithm options: gainratioinformationgainginiindex and accuracy Note each algorithms Performance Vector accuracy percentage. Of the four algorithms, which had the highest overall predictive accuracy for this exercises training data?
accuracy
giniindex
gainratio
informationgain
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