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SHAP Values for Dropout Prediction in Education by Sergio Alumenda is a document available to read on EtoBox.

What is SHAP Values for Dropout Prediction in Education about?

The document demonstrates how SHAP values can be used to explain dropout prediction models and help understand the rationale behind predictions. SHAP values are calculated for two distinct educational models and visualized through swarm plots, revealing important variables and their effects. This approach aims to increase transparency and identify potential bias to improve models and support students.

Author

Sergio Alumenda

Language

EN