\begin{figure}[ht!]
\centering
{\scriptsize  
\begin{tabular}{c|l|ccc|ccc|ccc|ccc|ccc}
%\setlength{\tabcolsep}{-10pt} 
%\hspace{-10pt}
\multicolumn{2}{c}{\textbf{}} &	\multicolumn{3}{c}{\textbf{h=1/sqrt(size)}}	&	\multicolumn{3}{c}{\textbf{h=2}}	&	\multicolumn{3}{c}{\textbf{h=4}} &	\multicolumn{3}{c}{\textbf{h=8}} &	\multicolumn{3}{c}{\textbf{h=16}}\\\hline
\textbf{} &	
\textbf{\textit{k}}	&	
\begin{sideways}\parbox{9mm}{\textbf{WIN}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{TIE}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{LOSS}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{WIN}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{TIE}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{LOSS}}\end{sideways}	&
\begin{sideways}\parbox{9mm}{\textbf{WIN}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{TIE}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{LOSS}}\end{sideways}	&
\begin{sideways}\parbox{9mm}{\textbf{WIN}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{TIE}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{LOSS}}\end{sideways}	&
\begin{sideways}\parbox{9mm}{\textbf{WIN}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{TIE}}\end{sideways}	&	
\begin{sideways}\parbox{9mm}{\textbf{LOSS}}\end{sideways}	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{10mm}{Uniform}\end{sideways}} 
&	3	&	144	&	32	&	4	&	144	&	32	&	4	&	144	&	32	&	4	&	144	&	32	&	4	&	144	&	32	&	4	\\
	&	5	&	127	&	48	&	5	&	127	&	48	&	5	&	127	&	48	&	5	&	127	&	48	&	5	&	127	&	48	&	5	\\
	&	7	&	116	&	48	&	16	&	116	&	48	&	16	&	116	&	48	&	16	&	116	&	48	&	16	&	116	&	48	&	16	\\
	&	9	&	113	&	28	&	39	&	113	&	28	&	39	&	113	&	28	&	39	&	113	&	28	&	39	&	113	&	28	&	39	\\
	&	d	&	76	&	24	&	80	&	76	&	24	&	80	&	76	&	24	&	80	&	76	&	24	&	80	&	76	&	24	&	80	\\
	&	3+N	&	74	&	51	&	55	&	74	&	51	&	55	&	74	&	51	&	55	&	74	&	51	&	55	&	74	&	51	&	55	\\
	&	5+N	&	28	&	34	&	118	&	28	&	34	&	118	&	28	&	34	&	118	&	28	&	34	&	118	&	28	&	34	&	118	\\
	&	7+N	&	12	&	41	&	127	&	12	&	41	&	127	&	12	&	41	&	127	&	12	&	41	&	127	&	12	&	41	&	127	\\
	&	9+N	&	6	&	34	&	140	&	6	&	34	&	140	&	6	&	34	&	140	&	6	&	34	&	140	&	6	&	34	&	140	\\
	&	d+N	&	16	&	32	&	132	&	16	&	32	&	132	&	16	&	32	&	132	&	16	&	32	&	132	&	16	&	32	&	132	\\\hline
	\multirow{10}{1mm}{\begin{sideways}\parbox{15mm}{Triangular}\end{sideways}}	&	3	&	147	&	31	&	2	&	147	&	31	&	2	&	147	&	31	&	2	&	147	&	31	&	2	&	147	&	31	&	2	\\
	&	5	&	132	&	46	&	2	&	132	&	46	&	2	&	132	&	46	&	2	&	132	&	46	&	2	&	132	&	46	&	2	\\
	&	7	&	123	&	43	&	13	&	123	&	43	&	14	&	123	&	43	&	14	&	123	&	43	&	14	&	123	&	43	&	14	\\
	&	9	&	116	&	23	&	40	&	116	&	23	&	41	&	116	&	23	&	41	&	116	&	23	&	41	&	116	&	23	&	41	\\
	&	d	&	97	&	2	&	80	&	97	&	2	&	81	&	97	&	2	&	81	&	97	&	2	&	81	&	97	&	2	&	81	\\
	&	3+N	&	78	&	17	&	85	&	78	&	17	&	85	&	78	&	17	&	85	&	78	&	17	&	85	&	78	&	17	&	85	\\
	&	5+N	&	54	&	8	&	117	&	54	&	8	&	118	&	54	&	8	&	118	&	54	&	8	&	118	&	54	&	8	&	118	\\
	&	7+N	&	22	&	23	&	134	&	22	&	23	&	135	&	22	&	23	&	135	&	22	&	23	&	135	&	22	&	23	&	135	\\
	&	9+N	&	9	&	25	&	145	&	9	&	25	&	146	&	9	&	25	&	146	&	9	&	25	&	146	&	9	&	25	&	146	\\
	&	d+N	&	0	&	22	&	157	&	0	&	22	&	158	&	0	&	22	&	158	&	0	&	22	&	158	&	0	&	22	&	158	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{19mm}{Epanechnikov}\end{sideways}}	&	3	&	145	&	33	&	1	&	145	&	33	&	2	&	145	&	33	&	2	&	145	&	33	&	2	&	145	&	33	&	2	\\
	&	5	&	139	&	38	&	2	&	139	&	38	&	3	&	139	&	38	&	3	&	139	&	38	&	3	&	139	&	38	&	3	\\
	&	7	&	124	&	40	&	15	&	124	&	40	&	16	&	124	&	40	&	16	&	124	&	40	&	16	&	124	&	40	&	16	\\
	&	9	&	116	&	18	&	45	&	116	&	18	&	46	&	116	&	18	&	46	&	116	&	18	&	46	&	116	&	18	&	46	\\
	&	d	&	97	&	4	&	78	&	97	&	4	&	79	&	97	&	4	&	79	&	97	&	4	&	79	&	97	&	4	&	79	\\
	&	3+N	&	79	&	16	&	85	&	79	&	16	&	85	&	79	&	16	&	85	&	79	&	16	&	85	&	79	&	16	&	85	\\
	&	5+N	&	41	&	18	&	120	&	41	&	18	&	121	&	41	&	18	&	121	&	41	&	18	&	121	&	41	&	18	&	121	\\
	&	7+N	&	10	&	42	&	127	&	10	&	42	&	128	&	10	&	42	&	128	&	10	&	42	&	128	&	10	&	42	&	128	\\
	&	9+N	&	6	&	40	&	133	&	6	&	40	&	134	&	6	&	40	&	134	&	6	&	40	&	134	&	6	&	40	&	134	\\
	&	d+N	&	2	&	29	&	148	&	2	&	29	&	149	&	2	&	29	&	149	&	2	&	29	&	149	&	2	&	29	&	149	\\\hline
\multirow{10}{1mm}{\begin{sideways}\parbox{15mm}{Gaussian}\end{sideways}}	&	3	&	136	&	42	&	2	&	137	&	32	&	11	&	138	&	38	&	4	&	139	&	36	&	5	&	142	&	32	&	6	\\
	&	5	&	130	&	48	&	2	&	129	&	40	&	11	&	133	&	44	&	3	&	131	&	44	&	5	&	132	&	42	&	6	\\
	&	7	&	116	&	57	&	7	&	117	&	41	&	22	&	122	&	47	&	11	&	119	&	46	&	15	&	122	&	41	&	17	\\
	&	9	&	114	&	33	&	33	&	108	&	19	&	53	&	115	&	25	&	40	&	114	&	26	&	40	&	113	&	22	&	45	\\
	&	d	&	95	&	7	&	78	&	78	&	27	&	75	&	88	&	16	&	76	&	70	&	32	&	78	&	95	&	4	&	81	\\
	&	3+N	&	66	&	34	&	80	&	80	&	60	&	40	&	80	&	24	&	76	&	79	&	40	&	61	&	85	&	21	&	74	\\
	&	5+N	&	27	&	39	&	114	&	59	&	13	&	108	&	61	&	3	&	116	&	61	&	14	&	105	&	60	&	5	&	115	\\
	&	7+N	&	7	&	50	&	123	&	41	&	10	&	129	&	40	&	3	&	137	&	39	&	7	&	134	&	38	&	7	&	135	\\
	&	9+N	&	4	&	53	&	123	&	20	&	10	&	150	&	19	&	4	&	157	&	20	&	6	&	154	&	20	&	7	&	153	\\
	&	d+N	&	1	&	45	&	134	&	0	&	10	&	170	&	0	&	4	&	176	&	0	&	5	&	175	&	0	&	5	&	175	\\
\end{tabular}}
\caption{Win-tie-loss results for Cocomo81. The N-ABE experiments are shown with a \textit{+N} sign, whereas the dynamic \textit{k} is represented by a \textit{d}. We used 5 different bandwidths for 4 different kernels. Similar to other data types, for Cocomo81 we do not see an improvement coming from different kernels. However, unlike other data types, we are unable to observe an improvement coming from change of bandwidth values too.}
\label{fig:win-tie-loss-coc81}
\end{figure}