Practice

To see how to implement a conditional inference tree, we will use a Jupyter notebook made available to everyone on Google Colab.

Please just follow the link provided below to open the Jupyter notebook.

Binder
Click this link to open an interactive version of this tutorial on Binder.org.

If the notebook on Binder does not work, please click this link to open an interactive version of this tutorial on Google Colab.
This interactive Jupyter notebook allows you to execute code yourself and you can also change and edit the notebook, e.g. you can change code and upload your own data.


Back to the workshop repo

Boulesteix, Anne-Laure, Silke Janitza, Alexander Hapfelmeier, Kristel Van Steen, and Carolin Strobl. 2015. “Letter to the Editor: On the Term ‘Interaction’ and Related Phrases in the Literature on RandomForests.” Briefings in Bioinformatics 16 (2): 338–45. https://academic.oup.com/bib/article/16/2/338/246566.
Gries, Stefan Th. 2021. Statistics for Linguistics Using r: A Practical Introduction. Berlin & New York: Mouton de Gruyter.
Wright, Marvin N., Andreas Ziegler, and Inke R. König. 2016. “Do Little Interactions Get Lost in Dark Random Forests?” 17 (145). https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-0995-8.