Python Jupyter Notebook

Upon completing the code and data sets that were posted under this week, continue using the below codes to construct the simplified data-driven cost matrix as follows: a. Obtain the mean of the Sales per Visit variable from the training data set and set the negative of that value to be the "cost" of a true positive. Let the false positive cost equal $10. \# a sales_mean = round(clothing_train['Sales per visit'].mean (),2) tp_cost = sales_mean - (__n' ) fp_cost = sales_mean b. Construct the appropriate cost matrix, and simplify it, to obtain the simplified data-driven cost matrix