Question: For Analytic Solver, partition data sets into 6 0 % training and 4 0 % validation and use 1 2 3 4 5 as the

For Analytic Solver, partition data sets into

60 %

training and

40 %

validation and use

12345

as the default random seed. Create

10

weak learners when constructing the ensemble model. If the predictor variable values are in the character format, then treat the predictor variable as a categorical variable. Otherwise, treat the predictor variable as a numerical variable.

Create a boosting ensemble classification tree model using the accompanying data file

(

predictor variables: x

1

to x

4

; target: y

) .

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