Question: Now, try the same tree (use red triangle option Redo > Relaunch Analysis) with the Bootstrap Forest method selected, set the Random seed to 123

Now, try the same tree (use red triangle option Redo > Relaunch Analysis) with the Bootstrap Forest method selected, set the Random seed to 123 (in the next dialog window), and accept the default settings. For the test set, what is the overall accuracy? What is the lift at portion = 0.20? Again, save the prediction formula to the data table. (Click Red Triangle> Save Columns>Save Prediction Formula) . The overall accuracy of the Bootstrap Forest Method on the test set is 1-Misclassification = 1-0.1337=0.8663 . The lift at portion = 0.2 for Competitive = 1 is approximately 1.77 , and the lift for Competitive = 0 is approximately [ Select ] [ Select ] Compare the three 1.96 ison platform under Analyze > Pre( 1.21 omparison Platform's launch w 0.45 ion" to the Group field and click UR . Compare the misclassication rates of the three models over the validation set. Which model has the best accuracy? . The Model [Select ] has the best accuracy over the validation set Now, choose Model Averaging (red triangle option) in the Model Search

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