Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models

Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models
PDF
  • eBook:
    Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models
  • Author:
    Przemyslaw Biecek, Tomasz Burzykowski
  • Edition:
    1 edition
  • Categories:
  • Data:
    February 15, 2021
  • ISBN:
    0367135590
  • ISBN-13:
    9780367135591
  • Language:
    English
  • Pages:
    326 pages
  • Format:
    PDF

Book Description
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.

Content

I - Introduction
1. Introduction
2. Model Development
3. Do-it-yourself
4. Datasets and Models

II - Instance Level
5. Introduction to Instance-level Exploration
6. Break-down Plots for Additive Attributions
7. Break-down Plots for Interactions
8. Shapley Additive Explanations (SHAP) for Average Attributions
9. Local Interpretable Model-agnostic Explanations (LIME)
10. Ceteris-paribus Profiles
11. Ceteris-paribus Oscillations
12. Local-diagnostics Plots
13. Summary of Instance-level Exploration

III - Dataset Level
14. Introduction to Dataset-level Exploration
15. Model-performance Measures
16. Variable-importance Measures
17. Partial-dependence Profiles
18. Local-dependence and Accumulated-local Profiles
19. Residual-diagnostics Plots
20. Summary of Dataset-level Exploration

IV - Use-cases 267
21. FIFA 19
22. Reproducibility

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