modelDown swMATH ID: 29413 Software Authors: Przemysław Biecek, Magda Tatarynowicz, Kamil Romaszko, Mateusz Urbański Description: R package modelDown: Make Static HTML Website for Predictive Models. Website generator with HTML summaries for predictive models. This package uses ’DALEX’ explainers to describe global model behavior. We can see how well models behave (tabs: Model Performance, Auditor), how much each variable contributes to predictions (tabs: Variable Response) and which variables are the most important for a given model (tabs: Variable Importance). We can also compare Concept Drift for pairs of models (tabs: Drifter). Additionally, data available on the website can be easily recreated in current R session. Work on this package was financially supported by the NCN Opus grant 2017/27/B/ST6/01307 at Warsaw University of Technology, Faculty of Mathematics and Information Science. Homepage: https://cran.r-project.org/web/packages/modelDown/index.html Source Code: https://github.com/cran/modelDown Dependencies: R Keywords: JOSS; Journal of Open Source Software; R; R package; website generator; predictive machine learning models; machine learning Related Software: R; DALEX; auditor; H2O; lime; InterpretML; shapper; pdp; ingredients; modelStudio; whisker; pkgdown; archivist; ggplot2; svglite; DrWhy; drifter; vivo; forestmodel; ELI5 Cited in: 0 Documents Standard Articles 1 Publication describing the Software Year