Bar Plot from Scientific Research

Average performance of the default as well as the tuned versions of TabPFN and our baselines. All methods are tuned for ROC AUC or RMSE, respectively, thus decreasing the representativeness of the secondary metrics. LGBM, LightGBM; MLP, multilayer perceptron; SVM, support vector machines; RF, random forest; CB, CatBoost; XGB, XGBoost; Lin, logistic regression for classification and ridge regression for regression tasks. Plots on the right-hand side show a magnified analysis of the strongest baselines considered. Performance was normalized per dataset before aggregation using all baselines; intervals represent the 95% confidence interval. Wilcoxon P refers to the two-sided Wilcoxon signed-rank test P value 54.

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