TeX 62.3%
Python 37.6%
1\begin{table}[htbp]2\centering\scriptsize3\caption{Task A — MAE (×100) by class, horizon 4-6}\label{tab:het_a_property_class}4\begin{threeparttable}5\begin{tabular}{lrrr}6\toprule7Model & condo & house & plex \\8\midrule9Naive: municipal median & 34.24 & 34.96 & 38.38 \\10Hedonic OLS & 15.86 & 25.49 & 27.20 \\11Ridge & 15.86 & 25.49 & 27.20 \\12Elastic net & 15.79 & 25.41 & 27.19 \\13SVR (subsample) & 15.08 & 25.15 & 27.19 \\14Random forest & 13.90 & 24.39 & 26.52 \\15XGBoost & 13.74 & 24.26 & 24.99 \\16LightGBM & 13.77 & 23.96 & 24.73 \\17Quantile MLP & 19.14 & 27.52 & 28.40 \\18HSHN (no pooling) & 17.31 & 25.05 & 26.17 \\19HSHN (full pooling) & 17.61 & 25.38 & 26.50 \\20HSHN (partial pooling) & 17.33 & 25.07 & 26.19 \\21\bottomrule22\end{tabular}23\end{threeparttable}24\end{table}25