Impact of Regularization in case of Logistic Regression

The goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow therefore first reads the internet advertisement dataset. Then it creates a subset with more columns than rows, favouring overfitting. In the next step three models with different prior options are trained. In the last step the results are summarized in an interactive javascript view.


This is a companion discussion topic for the original entry at https://kni.me/w/Lt3uHwGpsV6_15qk

Looks good, but the main file is missing from the workflow (ad.table file) Please fix it…

@Kathrin can you help?

Hi,

thank you for pointing this out!
You can find a fixed version here and we will also update the other version on the EXAMPLES Server.
https://kni.me/w/y2bnbxaB_0qexrC5

Cheers,
Kathrin