Explanatory Model Analysis Explore, Explain and Examine Predictive
Models is a set of methods and tools designed to build better
predictive models and to monitor their behaviour in a changing
environment. Today, the true bottleneck in predictive modelling is
neither the lack of data, nor the lack of computational power, nor
inadequate algorithms, nor the lack of flexible models. It is the lack
of tools for model exploration (extraction of relationships learned by
the model), model explanation (understanding the key factors
influencing model decisions) and model examination (identification of
model weaknesses and evaluation of model's performance). This book
presents a collection of model agnostic methods that may be used for any
black-box model together with real-world applications to classification
and regression problems.