column_to_predict

Description

Specifies the name of the column that the model aims to predict. This is a critical configuration as it defines the target variable for the forecasting algorithm. If this column already exists in the prediction dataset, it will serve as a benchmark to compare against the model’s predictions, enabling the computation of performance scores such as accuracy or mean squared error.

Steps impacted

training

prediction

Example

column_to_predict: qty

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