Question: Python / Jupyter Notebook Using the training set, build a C5.0 model (Model 3) to predict a customer's Response using Days since Purchase, # of

Python / Jupyter Notebook

Using the training set, build a C5.0 model (Model 3) to predict a customer's Response using Days since Purchase, \# of Purchase Visits, and Sales per Visit, using the data-driven cost matrix. In []: = 0: cost_matrix_adj.iloc [,1],1: cost_matrix_adj.iloc [1,0]} \#train C5.0 model c50_ 3 = DecisionTreeclassifier(criterion="

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