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Visualization package of the mlr3 ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the autoplot() generic of ggplot2. The package draws plots with the viridis color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Category: Technology
mlr3viz.mlr-org.com1
Structured Data
8
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
8
Technical AEO
5
AI Discoverability
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Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mlr3viz-mlr-org
Cite this score: Engagemii (2026). "AEO Score for Visualizations for mlr3 • mlr3viz." Retrieved from https://engagemii.com/aeo/brands/mlr3viz-mlr-org
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