**The owner of this data have selected MAPE as an evaluation matric.**
MAPE, or Mean Absolute Percentage Error, is an evaluation metric used to assess the accuracy of forecasting or predictive models, particularly in the context of time series data, demand forecasting, and regression problems. MAPE measures the percentage difference between predicted and actual values. It is a relative error metric, which means it is expressed as a percentage and is independent of the scale of the data. A lower MAPE indicates a better model fit.

**Your model will be evaluated on the following month, i.e. data obtained from January 2021.**