Misconception 4: Explainable #machinelearning is just models of models.

I do like surrogate models. They have several important uses. However, I also REALLY like tools that explain models directly, including:

- ALE: https://lnkd.in/e3mz23V
- ICE: https://lnkd.in/eaQxk_Q
- Friedman's H-stat: https://lnkd.in/emwNcdy
- Partial dependence: https://lnkd.in/ejnkFYN, Section 10.13.2
- Shapley explanations: https://lnkd.in/ewsMxbU

(What did I miss? Any others?)

Moreover, surrogate models & direct explanatory techniques work very well together! See pic below.

Misconception 3: https://lnkd.in/eM3hVyW

Read more/contribute: https://lnkd.in/e8_hciE

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