Pipeline(steps=[('preprocessing',
                 ColumnTransformer(transformers=[('Categorical',
                                                  Pipeline(steps=[('categorical_imputer',
                                                                   SimpleImputer(missing_values=<NA>,
                                                                                 strategy='most_frequent')),
                                                                  ('onehotencoder',
                                                                   OneHotEncoder(drop='first',
                                                                                 handle_unknown='ignore'))]),
                                                  ['U.S._STATE', 'NERC.REGION',
                                                   'CLIMATE.CATEGORY',
                                                   'CAUSE.CATEGORY']),
                                                 ('Numerical',
                                                  Pipeline(steps=[('numerical_imputer',
                                                                   SimpleImputer(missing_values=<NA>)),
                                                                  ('polynomial',
                                                                   PolynomialFeatures(include_bias=False))]),
                                                  ['YEAR', 'MONTH',
                                                   'OUTAGE.DURATION',
                                                   'TOTAL.SALES',
                                                   'TOTAL.CUSTOMERS',
                                                   'ANOMALY.LEVEL'])])),
                ('Linear Regression', LinearRegression())])
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