Model Interpretability, Titanic

The workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined view. It trains a Random Forest model for predicting survival of the Titanic dataset and compute explanations using those three different techniques. The general steps demonstrated in this workflow are to: 1) Clean the data 2) Train the model 3) Take a sample row to explain 4) Run SHAP, Shapley Values and LIME 5) Combine the results in an interactive composite view.


This is a companion discussion topic for the original entry at https://kni.me/w/Mlma-Qd6KqIgeSUB