Everything in chronological order
Here we provide some general information about the datasets based on Dutch registers, that are available for selected teams in the second part of PreFer.
Some tips for using Python in CBS remote access environment (RA).
Here we describe the outcome (or target variable) in the the LISS dataset and how we calculated it.
Here we show to evaluate your model in terms of predictive accuracy when you are working in R.
Here we show the steps for submitting a slighty more complex model in R
R
Here we show common errors during the automated tests and how to fix them.
Here we show the steps for submitting a simple model in python
python
Here we show the steps for submitting a simple model in R
It might be good to do an emtpy submission first to see how the checks work
emtpy
Here is some useful information on how to use the different PreFer datasets on offer
Here is some useful information on reading in / load PreFer data.
Here is some useful information that can help navigate the PreFer codebooks for the LISS datasets
Here is some useful information that can help navigate the PreFer datasets from the LISS panel.
ODISSEI lecture about the challenge.