alexander/urban-meal-delivery-demand-forecasting
1
0
Fork 0
Code Activity

Remove glossary

Browse source
This commit is contained in:
Alexander Hess 2020-11-30 18:42:54 +01:00
commit 96a3b242c0
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
16 changed files with 40 additions and 193 deletions
Download patch file Download diff file Expand all files Collapse all files

3
tex/2_lit/3_ml/1_intro.tex
View file

@ -4,8 +4,7 @@
ML methods have been employed in all kinds of prediction tasks in recent
years.
In this section, we restrict ourselves to the models that performed well in
our study: Random Forest (\gls{rf}) and Support Vector Regression
(\gls{svr}).
our study: Random Forest (RF) and Support Vector Regression (SVR).
RFs are in general well-suited for datasets without a priori knowledge about
the patterns, while SVR is known to perform well on time series data, as
shown by \cite{hansen2006} in general and \cite{bao2004} specifically for