About Alcohol Sales Data 2001-18: The file attached contains data on the monthly sales of Beer, Wine, and Distilled Alcoholic Beverages Sales in US. The units are in Millions of US$. Source: Fred Economic Data (https://fred.stlouisfed.org/series/S4248SM144NCEN) For this dataset, please do the following:

1. time index column "t" and create 12 dummy variables, one for each month. 2. Partition this dataset with the last 12 observations as validation. 3. Run Artificial Neural Network with Beer Sales as the dependent variable, and t and 11 dummies (drop April) as the independent variable for the following structures: MODEL A: 1 hidden layer with 20 hidden nodes MODEL B: 2 hidden layer with 10 hidden nodes in each For both models, run with Epoch 10000, Learning Rate = 0.5, error Tolerance = 0.001. Leave the rest of the parameters with their default values. Use the "training only" model. 4. Select the RMSE of the training periods for Model A and Model B from the below options.

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Model A=1267.90, Model B= 1946.28 - is not the answer.