Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.
Part 10 Classification and Regression Trees
10.5 Influential Instances Interpretable Machine Learning
5.5 Decision Rules Interpretable Machine Learning
Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach, BMC Medical Informatics and Decision Making
Recent advances in decision trees: an updated survey
Which is the most interpretable machine learning model? Which one is the least interpretable, and why? - Quora
Interpretable Machine Learning
Examining influential factors for acknowledgements classification
Interpretable Machine Learning (Second Edition)
Chapter 6 Model-Agnostic Methods
Application of interpretable machine learning for early prediction of prognosis in acute kidney injury - ScienceDirect
Interpretability Engine: An open-source tool to interpret your models in ML Serving - OVHcloud Blog
