\begin{figure}[ht!]
\centering
{\scriptsize  
\begin{tabular}{c|l|cc|cc|cc|cc|cc}
		\multicolumn{2}{c}\textbf{} 	&	\multicolumn{2}{c}{\textbf{h=1/sqrt(size)}}			&	\multicolumn{2}{c}{\textbf{h=2}}			&	\multicolumn{2}{c}{\textbf{h=4}}			&	\multicolumn{2}{c}{\textbf{h=8}}			&	\multicolumn{2}{c}{\textbf{h=16}}			\\\hline
	&	\textbf{\textit{k}} 	&	\begin{sideways}\parbox{14mm}{MdMRE}\end{sideways}	&	\begin{sideways}\parbox{14mm}{Pred(25)\%}\end{sideways}	&	\begin{sideways}\parbox{14mm}{MdMRE}\end{sideways}	&	\begin{sideways}\parbox{14mm}{Pred(25)\%}\end{sideways}	&	\begin{sideways}\parbox{14mm}{MdMRE}\end{sideways}	&	\begin{sideways}\parbox{14mm}{Pred(25)\%}\end{sideways}	&	\begin{sideways}\parbox{14mm}{MdMRE}\end{sideways}	&	\begin{sideways}\parbox{14mm}{Pred(25)\%}\end{sideways}	&	\begin{sideways}\parbox{14mm}{MdMRE}\end{sideways}	&	\begin{sideways}\parbox{14mm}{Pred(25)\%}\end{sideways}	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{10mm}{Uniform}\end{sideways}}	&	3	&	0.39	&	34.14	&	0.40	&	35.43	&	0.40	&	35.12	&	0.40	&	34.69	&	0.37	&	35.62	\\
	&	5	&	0.36	&	37.96	&	0.37	&	38.70	&	0.36	&	37.16	&	0.37	&	36.98	&	0.35	&	38.46	\\
	&	7	&	0.36	&	36.91	&	0.37	&	38.52	&	0.36	&	36.85	&	0.37	&	36.67	&	0.36	&	37.47	\\
	&	9	&	0.37	&	35.74	&	0.37	&	36.42	&	0.37	&	34.94	&	0.37	&	35.37	&	0.36	&	36.05	\\
	&	d	&	0.37	&	34.88	&	0.36	&	31.67	&	0.37	&	32.84	&	0.36	&	31.98	&	0.36	&	33.58	\\
	&	3+N	&	0.81	&	2.53	&	0.70	&	5.86	&	0.69	&	5.19	&	0.70	&	5.12	&	0.69	&	5.31	\\
	&	5+N	&	0.86	&	0.93	&	0.82	&	1.30	&	0.81	&	2.28	&	0.82	&	1.79	&	0.81	&	2.22	\\
	&	7+N	&	0.89	&	0.37	&	0.87	&	0.19	&	0.86	&	0.12	&	0.87	&	0.19	&	0.86	&	0.12	\\
	&	9+N	&	0.91	&	0.19	&	0.89	&	0.00	&	0.89	&	0.00	&	0.90	&	0.00	&	0.89	&	0.00	\\
	&	d+N	&	0.93	&	0.12	&	0.88	&	0.00	&	0.96	&	0.00	&	0.94	&	0.00	&	0.89	&	0.00	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{15mm}{Triangular}\end{sideways}}	&	3	&	0.38	&	36.05	&	0.36	&	34.81	&	0.38	&	35.49	&	0.36	&	34.88	&	0.39	&	34.07	\\
	&	5	&	0.36	&	38.27	&	0.35	&	37.35	&	0.36	&	38.40	&	0.36	&	37.65	&	0.36	&	37.10	\\
	&	7	&	0.36	&	37.10	&	0.36	&	37.35	&	0.36	&	38.15	&	0.36	&	37.16	&	0.36	&	36.54	\\
	&	9	&	0.36	&	35.93	&	0.36	&	36.17	&	0.36	&	34.44	&	0.36	&	36.42	&	0.37	&	35.00	\\
	&	d	&	0.41	&	32.59	&	0.36	&	33.33	&	0.37	&	34.44	&	0.47	&	35.43	&	0.36	&	32.84	\\
	&	3+N	&	0.44	&	25.80	&	0.62	&	10.06	&	0.61	&	9.94	&	0.61	&	10.31	&	0.60	&	11.54	\\
	&	5+N	&	0.41	&	30.93	&	0.55	&	14.75	&	0.54	&	15.06	&	0.53	&	16.05	&	0.54	&	16.73	\\
	&	7+N	&	0.39	&	34.75	&	0.50	&	17.35	&	0.51	&	17.35	&	0.50	&	19.26	&	0.51	&	18.95	\\
	&	9+N	&	0.38	&	34.38	&	0.48	&	20.74	&	0.49	&	20.37	&	0.48	&	22.47	&	0.49	&	21.54	\\
	&	d+N	&	0.41	&	31.31	&	0.42	&	25.00	&	0.39	&	20.37	&	0.46	&	16.79	&	0.47	&	30.43	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{19mm}{Epanechnikov}\end{sideways}}	&	3	&	0.36	&	34.94	&	0.40	&	37.59	&	0.39	&	35.43	&	0.36	&	35.62	&	0.38	&	35.56	\\
	&	5	&	0.36	&	37.96	&	0.34	&	38.64	&	0.36	&	37.28	&	0.35	&	37.47	&	0.36	&	37.72	\\
	&	7	&	0.36	&	35.74	&	0.36	&	37.10	&	0.36	&	36.73	&	0.36	&	36.98	&	0.36	&	36.98	\\
	&	9	&	0.36	&	34.51	&	0.36	&	36.85	&	0.36	&	35.49	&	0.37	&	34.94	&	0.36	&	35.68	\\
	&	d	&	0.36	&	32.59	&	0.36	&	32.41	&	0.37	&	36.73	&	0.35	&	31.91	&	0.40	&	30.62	\\
	&	3+N	&	0.80	&	0.80	&	0.58	&	10.93	&	0.58	&	12.16	&	0.58	&	10.93	&	0.57	&	11.98	\\
	&	5+N	&	0.87	&	0.31	&	0.50	&	17.35	&	0.50	&	17.10	&	0.49	&	17.41	&	0.51	&	16.67	\\
	&	7+N	&	0.90	&	0.00	&	0.46	&	23.15	&	0.47	&	21.85	&	0.46	&	22.65	&	0.47	&	20.93	\\
	&	9+N	&	0.92	&	0.12	&	0.45	&	24.26	&	0.45	&	24.14	&	0.44	&	24.57	&	0.44	&	23.70	\\
	&	d+N	&	0.92	&	0.12	&	0.42	&	30.43	&	0.38	&	21.85	&	0.49	&	30.00	&	0.41	&	30.43	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{15mm}{Gaussian}\end{sideways}}	&	3	&	0.39	&	34.01	&	0.37	&	35.06	&	0.40	&	37.35	&	0.40	&	35.25	&	0.39	&	35.43	\\
	&	5	&	0.36	&	37.90	&	0.36	&	38.02	&	0.39	&	38.70	&	0.36	&	37.72	&	0.36	&	38.21	\\
	&	7	&	0.36	&	36.98	&	0.37	&	36.67	&	0.39	&	37.53	&	0.37	&	37.10	&	0.36	&	37.41	\\
	&	9	&	0.36	&	34.81	&	0.37	&	34.88	&	0.37	&	36.05	&	0.37	&	33.77	&	0.37	&	35.19	\\
	&	d	&	0.35	&	33.89	&	0.36	&	31.54	&	0.39	&	34.81	&	0.36	&	31.60	&	0.36	&	38.21	\\
	&	3+N	&	0.80	&	1.73	&	0.60	&	11.42	&	0.61	&	10.68	&	0.60	&	11.23	&	0.58	&	12.35	\\
	&	5+N	&	0.86	&	0.19	&	0.51	&	17.78	&	0.52	&	16.36	&	0.50	&	17.22	&	0.50	&	18.64	\\
	&	7+N	&	0.90	&	0.06	&	0.47	&	22.41	&	0.49	&	20.12	&	0.46	&	21.30	&	0.45	&	23.15	\\
	&	9+N	&	0.91	&	0.00	&	0.45	&	24.81	&	0.47	&	23.64	&	0.45	&	23.77	&	0.44	&	25.80	\\
	&	d+N	&	0.93	&	0.93	&	0.47	&	30.00	&	0.49	&	25.68	&	0.43	&	30.42	&	0.38	&	18.64	\\
\end{tabular}}
\caption{MdMRE and Pred(25) results for Desharnais dataset. None of the different kernel-bandwidth combinations can improve the performance of N-ABE methods to a point where they outperform the U-ABE method of ABE0.}
\label{fig:mre-desharnais}
\end{figure}
