Hello everyone,

I’m working on a time series prediction problem using SVR (Support Vector Regression). While testing the model, I noticed that the predicted values consistently lag behind the actual values.

The predictions seem to follow the trend correctly, but they are slightly delayed when compared to the ground truth.

Has anyone else encountered this issue? What could be the reasons for this lag, and are there any specific techniques or preprocessing steps to resolve it?

Thanks in advance for your insights!