\begin{table}[htbp]
\centering\footnotesize
\caption{Task A — mean absolute SHAP value (×100, log-price units) of the LightGBM model at three origins, 4,000 test sales each}\label{tab:shap}
\resizebox{\textwidth}{!}{%
\begin{tabular}{lrrrr}
\toprule
Feature & 2023-03 & 2024-03 & 2025-03 & Mean \\
\midrule
10 nearest past sales: quality-stripped log price & 23.2 & 21.6 & 20.8 & 21.9 \\
log floor area (centred) & 13.9 & 14.0 & 14.1 & 14.0 \\
age & 10.0 & 9.8 & 9.3 & 9.7 \\
origin month (time index) & 8.9 & 3.1 & 1.0 & 4.3 \\
log lot area (centred) & 3.5 & 3.6 & 3.6 & 3.6 \\
municipality: quality-stripped level, 12 m & 3.4 & 2.7 & 4.0 & 3.4 \\
northing & 3.1 & 3.3 & 2.9 & 3.1 \\
municipality: median log price, 3 m & 2.7 & 3.1 & 2.3 & 2.7 \\
distance to the 10 nearest sales & 2.8 & 2.3 & 2.2 & 2.5 \\
easting & 2.5 & 2.5 & 2.3 & 2.4 \\
dispersion of the 10 nearest sales & 2.0 & 2.3 & 2.4 & 2.2 \\
property\_class=condo & 2.1 & 2.1 & 2.4 & 2.2 \\
subtype\_c=detached & 1.9 & 2.1 & 2.1 & 2.0 \\
log floor area squared & 1.4 & 1.4 & 1.5 & 1.4 \\
municipality: sales, 3 m & 1.6 & 1.4 & 1.1 & 1.4 \\
\bottomrule
\end{tabular}}
\par\vspace{3pt}\parbox{\textwidth}{\footnotesize Importance is predictive, not causal. Origin-month importance declines as the training history lengthens.}
\end{table}