Open Internet by MindsNet

Overcoming Model Collapsing in Time Series Backcasting

The author is struggling with a time series backcasting problem where their model is collapsing to the mean, resulting in poor predictions of forecast errors. Despite extensive feature engineering and hyperparameter tuning, the model is unable to accurately capture the errors, particularly for higher horizon forecasts.

Computing & Technology, Computer Science, Machine Learning