btw we re starting to get some pretty conclusive results re

Question

btw we re starting to get some pretty conclusive results re neuralforecast performance as benchmarked against xgboost catboost lightgbm etc < Valeriy> not sure if you ve had a chance to wrap up your analysis but seems pretty clear at this point the conclusion from is bogus

Chris Gervais · Answer

we can definitely attest to a difference in ease of tuning but the lift against xgboost is significant at least in our domain and persists across ~95 of all of our ~1k forecasting tasks

Valeriy · Answer

XGBoost is all about creating features Could this be the issue

Chris Gervais · Answer

we ran both with and without tsfresh features same finding held up

Valeriy · Answer

Nice there is also new one for features could be interesting for team <https github com predict idlab tsflex|https github com predict idlab tsflex>

Chris Gervais · Answer

awesome will give this a try +1

Valeriy · Answer

Did DL win on global models multi series or univariate as well

Chris Gervais · Answer

yah for clarity this is all for multioutput single series using exogenous variables