Search Results for author: Marvin Wright

Found 3 papers, 1 papers with code

CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests

no code implementations4 Apr 2024 Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin Wright

Counterfactual explanations elucidate algorithmic decisions by pointing to scenarios that would have led to an alternative, desired outcome.


Hyperparameters and Tuning Strategies for Random Forest

1 code implementation10 Apr 2018 Philipp Probst, Marvin Wright, Anne-Laure Boulesteix

In a benchmark study on several datasets, we compare the prediction performance and runtime of tuneRanger with other tuning implementations in R and RF with default hyperparameters.

On the use of Harrell's C for clinical risk prediction via random survival forests

no code implementations11 Jul 2015 Matthias Schmid, Marvin Wright, Andreas Ziegler

In simulation studies and with the help of two medical data sets we demonstrate that the accuracy of RSF predictions, as measured by Harrell's C, can be improved if the log-rank statistic is replaced by the C index for node splitting.

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