most citedStatistical Comparisons of Classifiers by Generalized Stochastic Dominance

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stat.ML2023

Evaluating machine learning models in non-standard settings: An overview and new findings

Roman Hornung, Malte Nalenz, Lennart Schneider +5

Estimating the generalization error (GE) of machine learning models is fundamental, with resampling methods being the most common approach. However, in non-standard settings, parti…

stat.ML2022★ 2 cited

Statistical Comparisons of Classifiers by Generalized Stochastic Dominance

Christoph Jansen, Malte Nalenz, Georg Schollmeyer +1

Although being a crucial question for the development of machine learning algorithms, there is still no consensus on how to compare classifiers over multiple data sets with respect…