Introductory videos for Explanatory Model Analysis with R

The pyramid for Explanatory Model Analysis. Left part is focused on a single observation (instance-level or local explanations). Right part is focused on the whole data set (called dataset level or global explanations). In the first row are raw model predictions and model statistics. The second row is related to the analysis of model parts. The third row describes the profile of model behaviour depending on the values of individual variables. The fourth row corresponds to the residual diagnostics.
  1. Gentle introduction to the topic of exploration, why this topic is important and how it fits into the model building process.

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Przemyslaw Biecek

Przemyslaw Biecek

Interested in innovations in predictive modeling. Posts about eXplainable AI, IML, AutoML, AutoEDA and Evidence-Based Machine Learning. Part of r-bloggers.com.