\begin{tabular}{llcccccrr}
\toprule
\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
 &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
 &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
\midrule
AutoGluon 1.3 (4h) & \textcolor{gold}{\textbf{1542${}_{-33,+32}$}} & \textcolor{gold}{\textbf{0.618}} & \textcolor{gold}{\textbf{7.6}} & \textcolor{gold}{\textbf{3.2}} & \textcolor{silver}{\textbf{7}} & \textcolor{gold}{\textbf{6.4\%}} & 1453.27 & 3.15 \\
RealMLP (T+E) & \textcolor{silver}{\textbf{1469${}_{-20,+29}$}} & \textcolor{silver}{\textbf{0.537}} & \textcolor{silver}{\textbf{10.0}} & 4.9 & 3 & \textcolor{silver}{\textbf{8.3\%}} & 6559.12 & 8.60 \\
LightGBM (T+E) & \textcolor{bronze}{\textbf{1425${}_{-25,+27}$}} & 0.452 & \textcolor{bronze}{\textbf{11.9}} & 8.3 & 0 & 10.2\% & 416.56 & 2.24 \\
TabM (T+E) & 1417${}_{-26,+32}$ & \textcolor{bronze}{\textbf{0.502}} & 12.2 & 6.2 & 2 & \textcolor{bronze}{\textbf{8.9\%}} & 3133.91 & 1.27 \\
CatBoost (T+E) & 1398${}_{-23,+29}$ & 0.433 & 13.1 & 8.5 & 0 & 9.5\% & 1665.53 & 0.56 \\
ModernNCA (T+E) & 1382${}_{-21,+26}$ & 0.444 & 13.7 & \textcolor{bronze}{\textbf{4.5}} & \textcolor{bronze}{\textbf{5}} & 9.8\% & 4618.50 & 7.74 \\
CatBoost (T) & 1376${}_{-26,+22}$ & 0.416 & 14.1 & 8.6 & 0 & 10.0\% & 1665.53 & 0.07 \\
XGBoost (T+E) & 1373${}_{-23,+22}$ & 0.361 & 14.2 & 8.1 & 1 & 10.8\% & 700.96 & 1.44 \\
LightGBM (T) & 1355${}_{-21,+29}$ & 0.363 & 14.9 & 10.4 & 0 & 11.1\% & 416.56 & 0.38 \\
CatBoost (D) & 1354${}_{-26,+24}$ & 0.372 & 15.2 & 9.3 & 1 & 10.8\% & 6.70 & 0.09 \\
TabM (T) & 1354${}_{-27,+27}$ & 0.413 & 15.1 & 8.3 & 0 & 9.8\% & 3133.91 & 0.13 \\
XGBoost (T) & 1348${}_{-24,+25}$ & 0.313 & 15.4 & 8.9 & 1 & 11.0\% & 700.96 & 0.21 \\
ModernNCA (T) & 1344${}_{-21,+25}$ & 0.307 & 15.5 & 6.8 & 2 & 10.5\% & 4618.50 & 0.47 \\
TabPFNv2 (T+E) & 1324${}_{-26,+26}$ & 0.476 & 16.6 & \textcolor{silver}{\textbf{3.4}} & \textcolor{gold}{\textbf{11}} & 10.4\% & 2942.08 & 17.37 \\
TabM (D) & 1284${}_{-19,+23}$ & 0.285 & 18.5 & 11.6 & 0 & 12.7\% & 11.56 & 0.13 \\
RealMLP (T) & 1282${}_{-26,+24}$ & 0.229 & 18.7 & 12.9 & 0 & 12.3\% & 6559.12 & 0.35 \\
TabICL (D) & 1279${}_{-22,+27}$ & 0.381 & 18.8 & 6.2 & 4 & 11.5\% & 6.86 & 1.52 \\
TabPFNv2 (T) & 1269${}_{-18,+26}$ & 0.360 & 19.3 & 6.4 & 1 & 12.1\% & 2942.08 & 0.26 \\
TorchMLP (T+E) & 1258${}_{-22,+25}$ & 0.220 & 19.8 & 14.0 & 0 & 12.4\% & 2832.80 & 1.80 \\
EBM (T+E) & 1230${}_{-23,+23}$ & 0.184 & 21.4 & 11.5 & 0 & 15.8\% & 1323.39 & 0.18 \\
TabPFNv2 (D) & 1228${}_{-21,+24}$ & 0.324 & 21.4 & 6.5 & 3 & 13.1\% & 3.27 & 0.32 \\
ModernNCA (D) & 1224${}_{-24,+24}$ & 0.159 & 21.7 & 11.5 & 1 & 15.4\% & 13.74 & 0.32 \\
TabDPT (D) & 1215${}_{-27,+27}$ & 0.300 & 22.1 & 6.3 & 4 & 14.7\% & 20.56 & 8.62 \\
RealMLP (D) & 1207${}_{-21,+26}$ & 0.104 & 22.4 & 16.2 & 0 & 14.0\% & 21.59 & 1.49 \\
ExtraTrees (T+E) & 1204${}_{-24,+23}$ & 0.124 & 22.7 & 13.7 & 0 & 15.8\% & 191.44 & 0.76 \\
EBM (T) & 1187${}_{-27,+23}$ & 0.135 & 23.5 & 11.7 & 1 & 16.5\% & 1323.39 & 0.02 \\
TorchMLP (T) & 1186${}_{-19,+25}$ & 0.113 & 23.6 & 17.7 & 0 & 14.3\% & 2832.80 & 0.11 \\
XGBoost (D) & 1185${}_{-24,+21}$ & 0.115 & 23.7 & 14.1 & 1 & 14.3\% & 2.06 & 0.12 \\
ExtraTrees (T) & 1169${}_{-25,+25}$ & 0.094 & 24.4 & 12.8 & 0 & 16.7\% & 191.44 & 0.10 \\
FastaiMLP (T+E) & 1164${}_{-22,+27}$ & 0.158 & 24.6 & 16.1 & 0 & 16.5\% & 594.95 & 4.65 \\
RandomForest (T+E) & 1158${}_{-21,+23}$ & 0.098 & 25.0 & 15.1 & 0 & 16.4\% & 377.08 & 0.75 \\
EBM (D) & 1150${}_{-26,+27}$ & 0.134 & 25.3 & 13.4 & 1 & 17.4\% & 5.48 & 0.06 \\
LightGBM (D) & 1148${}_{-20,+28}$ & 0.088 & 25.4 & 21.6 & 0 & 15.2\% & 2.20 & 0.17 \\
RandomForest (T) & 1115${}_{-16,+22}$ & 0.072 & 27.1 & 21.5 & 0 & 17.3\% & 377.08 & 0.09 \\
FastaiMLP (T) & 1098${}_{-20,+23}$ & 0.073 & 27.8 & 19.5 & 0 & 18.1\% & 594.95 & 0.34 \\
TorchMLP (D) & 1027${}_{-29,+20}$ & 0.022 & 31.0 & 27.5 & 0 & 19.8\% & 8.96 & 0.13 \\
RandomForest (D) & 1000${}_{-0,+0}$ & 0.009 & 32.2 & 27.3 & 0 & 22.6\% & 0.43 & 0.05 \\
FastaiMLP (D) & 974${}_{-23,+24}$ & 0.023 & 33.2 & 29.9 & 0 & 22.2\% & 3.12 & 0.31 \\
ExtraTrees (D) & 967${}_{-26,+26}$ & 0.025 & 33.5 & 29.6 & 0 & 24.4\% & 0.26 & 0.05 \\
Linear (T+E) & 870${}_{-28,+26}$ & 0.031 & 36.7 & 21.4 & 1 & 32.7\% & 47.11 & 0.16 \\
Linear (T) & 831${}_{-22,+28}$ & 0.020 & 37.7 & 30.6 & 0 & 33.3\% & 47.11 & 0.06 \\
Linear (D) & 798${}_{-31,+26}$ & 0.014 & 38.5 & 36.4 & 0 & 34.6\% & 1.53 & 0.09 \\
KNN (T+E) & 715${}_{-36,+28}$ & 0.000 & 40.4 & 36.3 & 0 & 45.8\% & 2.61 & 0.16 \\
KNN (T) & 650${}_{-36,+35}$ & 0.000 & 41.5 & 33.4 & 0 & 47.5\% & 2.61 & 0.03 \\
KNN (D) & 466${}_{-48,+39}$ & 0.000 & 43.7 & 43.2 & 0 & 54.7\% & 0.05 & 0.02 \\
\bottomrule
\end{tabular}