def METHOD_NAME():
    """Build the model to fit."""
    return Pipeline(steps=[
        ('preprocessor',
         ColumnTransformer(transformers=[('num',
                                          Pipeline(steps=[('imputer',
                                                           SimpleImputer(strategy='median')),
                                                          ('scaler',
                                                           StandardScaler())]),
                                          _NUM_FEATURES),
                                         ('cat', OneHotEncoder(),
                                          _CAT_FEATURES)])),
        ('classifier', RandomForestRegressor(random_state=0, max_depth=7, n_estimators=30))
    ])