Comments (3)
I thought that we are talking about EDA box. It is very interesting what is the average target and score in each piece of variable.
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and average prediction/score from model
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Hi @MLud!
Average prediction is an intercept line in both BreakDown and SHAP plots. New version of this package should be on master branch tomorrow (works with the new version of ingredients package) and later on CRAN. Feel free to send more feedback.
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Related Issues (20)
- There is a plan to export modelStudio to python? HOT 2
- add `verbose` as an alias to `show_info`
- add `ms_merge_observations()` function to merge multiple modelStudio into one
- add `happiness` dataset
- update DALEX, ingredients, and iBreakDown versions? HOT 1
- add information about css needed for a proper modelStudio rendering in rmd -> html (vignette)
- update GIFs with the happiness demo example
- modelStudio fails on R v4.2 (devel) due to changes in logical operators HOT 1
- multiple modelstudio objects overlap HOT 3
- model_diagnostics fails due to no rows to aggregate HOT 10
- add `variable_splits` to modelStudio HOT 1
- Add a parameter to set, which plots to open and on which positions
- Error in check_explainer(explainer): For Python support, use precalculate=True in Explainer init HOT 5
- Why are Break Down plot intercepts the same for different regression models? HOT 8
- Is 4x4 panels the only way to present ModelStudio? HOT 2
- smart choosing of observations
- v2.1.0 release checklist
- Support for explainer objects from the `survex` package HOT 2
- Error in R - Error in eval(predvars, data, env) : object 'Breach' not found HOT 1
- Parsing error for only one variable model HOT 1
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