Epistemic Status: Trying to form my own views, excuse me if I’m asking a silly question.
TL;DR: Maybe this is over fitted to 2020 information?
My Data Science friends tell me that to train a model, we take ~80% of the data, and then we test our model on the last 20%.
Regarding your post: I wonder how you’d form your model based on only 2018 information. Would your model nicely predict the 2020 information or would it need an update (hinting that it is over fitted)? I’m asking this because it seems like the model here depends very much on cutting edge results, which I would guess makes it very sensitive to new information.
Epistemic Status: Trying to form my own views, excuse me if I’m asking a silly question.
TL;DR: Maybe this is over fitted to 2020 information?
My Data Science friends tell me that to train a model, we take ~80% of the data, and then we test our model on the last 20%.
Regarding your post: I wonder how you’d form your model based on only 2018 information. Would your model nicely predict the 2020 information or would it need an update (hinting that it is over fitted)? I’m asking this because it seems like the model here depends very much on cutting edge results, which I would guess makes it very sensitive to new information.