Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Cross-Validation

The video tutorial covers the process of cross validation in profit, starting with importing and calling the cross validation function. It explains the output data frame and introduces performance metrics like MSE and RMSE. The tutorial demonstrates plotting cross validation metrics and compares different models, highlighting the impact of removing zero sales days. The conclusion emphasizes the importance of model adjustments for better performance.

What does the MAPE metric indicate, and why might it be skipped in certain cases?

How does the removal of zero sales days impact the performance of the model?

What conclusions can be drawn from the comparison of the different models based on their MAPE values?