mlr3summary

mlr3summary is an R package designed to provide concise and informative summaries for machine learning models based on the mlr3 ecosystem. Inspired by the traditional summary output of generalized linear models, it consolidates general model details, residuals, performance metrics, complexity, feature importance, and partial dependence effects into a unified view. It integrates with mlr3 tasks, learners, and resampling strategies to compute statistics such as accuracy, AUC, F-beta, Brier score, and MCC, along with standard deviations and visual effect plots.