Explanatory Model Analysis
Explore, Explain, and Examine
Predictive Models
Preface
I Introduction
1 Introduction
2 Model Development
3 Do-it-yourself
- 3.1 Do-it-yourself with R
- 3.2 Do-it-yourself with Python
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
21 FIFA 19
22 Reproducibility
- 22.1 Package versions for R
- 22.2 Package versions for Python
References
DALEX website
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Explanatory Model Analysis

Explore, Explain, and Examine Predictive Models. With examples in R and Python.

Przemyslaw Biecek and Tomasz Burzykowski

2020-08-31