#timeseries

Finding a suitable forecasting metric to evaluate the forecasting models is often the key to a forecasting project. Right? We use metrics when developing models, we also use metrics to monitor models.

There are a bunch of metrics people choose from or adapt from. To be faster when choosing and adapting metrics, I created a page on the properties of different metrics for time series forecasting problems. For reproducibility, I also included all the code used to write this page.

https://dl.leima.is/time-series/timeseries-metrics.forecasting/
 
 
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