
% ### LR

\begin{table*}[ht]\scriptsize\caption{LR}\label{tab:results:LR:A}\centering\tabularnewline
\begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
\tabularnewline
\hline
abalone 17 vs 7 8 9 10 &  0.292  /  0.262  &  0.337  /  0.310  &  0.292  /  0.261  &  \textbf{0.344}  /  \textbf{0.318} 
\tabularnewline
abalone9 18 &  0.538  /  0.500  &  \textbf{0.575}  /  \textbf{0.544}  &  0.541  /  0.503  &  0.574  /  0.543 
\tabularnewline
car good &  0.108  /  0.038  &  0.109  /  0.038  &  0.107  /  0.036  &  \textbf{0.110}  /  \textbf{0.039} 
\tabularnewline
car vgood &  0.373  /  0.332  &  \textbf{0.422}  /  \textbf{0.387}  &  0.377  /  0.337  &  0.400  /  0.362 
\tabularnewline
flare F &  0.273  /  0.223  &  \textbf{0.323}  /  \textbf{0.279}  &  0.276  /  0.226  &  0.317  /  0.274 
\tabularnewline
hypothyroid &  0.363  /  0.312  &  0.378  /  0.328  &  0.360  /  0.308  &  \textbf{0.429}  /  \textbf{0.386} 
\tabularnewline
kddcup guess passwd vs satan &  0.989  /  0.989  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.998}  /  \textbf{0.998} 
\tabularnewline
kr vs k three vs eleven &  0.952  /  0.951  &  \textbf{0.965}  /  \textbf{0.965}  &  0.948  /  0.947  &  0.963  /  0.962 
\tabularnewline
kr vs k zero one vs draw &  0.700  /  0.686  &  \textbf{0.836}  /  \textbf{0.830}  &  0.710  /  0.696  &  0.761  /  0.750 
\tabularnewline
shuttle 2 vs 5 &  0.994  /  0.994  &  \textbf{0.996}  /  \textbf{0.996}  &  0.989  /  0.989  &  0.992  /  0.992 
\tabularnewline
winequality red 4 &  0.130  /  0.075  &  \textbf{0.135}  /  \textbf{0.080}  &  0.126  /  0.071  &  0.131  /  0.076 
\tabularnewline
yeast4 &  0.254  /  0.209  &  \textbf{0.277}  /  \textbf{0.235}  &  0.249  /  0.204  &  0.276  /  0.234 
\tabularnewline
yeast5 &  0.582  /  0.564  &  \textbf{0.620}  /  \textbf{0.604}  &  0.577  /  0.559  &  0.601  /  0.584 
\tabularnewline
yeast6 &  0.295  /  0.266  &  \textbf{0.353}  /  \textbf{0.328}  &  0.290  /  0.261  &  0.316  /  0.289 
\tabularnewline
\hline Average &  0.489  /  0.457  &  \textbf{0.523}  /  \textbf{0.494}  &  0.488  /  0.457  &  0.515  /  0.486 
\tabularnewline
\hline\end{tabular}\end{table*}


% ### RF

\begin{table*}[ht]\scriptsize\caption{RF}\label{tab:results:RF:A}\centering\tabularnewline
\begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
\tabularnewline
\hline
abalone 17 vs 7 8 9 10 &  0.234  /  0.222  &  0.280  /  0.268  &  0.253  /  0.240  &  \textbf{0.283}  /  \textbf{0.270} 
\tabularnewline
abalone9 18 &  0.324  /  0.291  &  0.348  /  0.326  &  0.335  /  0.302  &  \textbf{0.359}  /  \textbf{0.337} 
\tabularnewline
car good &  0.634  /  0.624  &  \textbf{0.659}  /  \textbf{0.650}  &  0.655  /  0.646  &  0.647  /  0.638 
\tabularnewline
car vgood &  0.910  /  0.907  &  \textbf{0.929}  /  \textbf{0.927}  &  0.904  /  0.901  &  0.921  /  0.918 
\tabularnewline
flare F &  0.062  /  0.043  &  0.120  /  0.099  &  0.064  /  0.044  &  \textbf{0.133}  /  \textbf{0.113} 
\tabularnewline
hypothyroid &  0.782  /  0.772  &  \textbf{0.798}  /  \textbf{0.788}  &  0.791  /  0.781  &  0.796  /  0.786 
\tabularnewline
kddcup guess passwd vs satan &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
\tabularnewline
kr vs k three vs eleven &  \textbf{0.993}  /  \textbf{0.993}  &  0.992  /  0.992  &  \textbf{0.993}  /  \textbf{0.993}  &  0.992  /  0.992 
\tabularnewline
kr vs k zero one vs draw &  0.941  /  0.939  &  0.946  /  0.944  &  0.937  /  0.935  &  \textbf{0.949}  /  \textbf{0.947} 
\tabularnewline
shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
\tabularnewline
winequality red 4 &  0.079  /  \textbf{0.062}  &  \textbf{0.086}  /  0.055  &  0.067  /  0.050  &  0.070  /  0.041 
\tabularnewline
yeast4 &  0.251  /  0.240  &  \textbf{0.321}  /  \textbf{0.304}  &  0.238  /  0.228  &  0.314  /  0.298 
\tabularnewline
yeast5 &  0.691  /  0.684  &  \textbf{0.738}  /  \textbf{0.730}  &  0.705  /  0.698  &  0.727  /  0.718 
\tabularnewline
yeast6 &  0.498  /  0.490  &  \textbf{0.575}  /  \textbf{0.567}  &  0.510  /  0.503  &  0.510  /  0.501 
\tabularnewline
\hline Average &  0.600  /  0.591  &  \textbf{0.628}  /  \textbf{0.618}  &  0.604  /  0.594  &  0.622  /  0.611 
\tabularnewline
\hline\end{tabular}\end{table*}


% ### GB

\begin{table*}[ht]\scriptsize\caption{GB}\label{tab:results:GB:A}\centering\tabularnewline
\begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
\tabularnewline
\hline
abalone 17 vs 7 8 9 10 &  0.291  /  0.270  &  0.291  /  0.278  &  0.310  /  0.289  &  \textbf{0.311}  /  \textbf{0.297} 
\tabularnewline
abalone9 18 &  \textbf{0.367}  /  \textbf{0.329}  &  0.318  /  0.292  &  0.343  /  0.304  &  0.318  /  0.292 
\tabularnewline
car good &  0.714  /  0.705  &  0.864  /  0.858  &  0.733  /  0.723  &  \textbf{0.869}  /  \textbf{0.864} 
\tabularnewline
car vgood &  0.933  /  0.931  &  \textbf{0.982}  /  \textbf{0.982}  &  0.951  /  0.949  &  \textbf{0.982}  /  \textbf{0.982} 
\tabularnewline
flare F &  0.139  /  0.125  &  \textbf{0.181}  /  \textbf{0.164}  &  0.162  /  0.147  &  0.156  /  0.138 
\tabularnewline
hypothyroid &  0.789  /  0.777  &  0.800  /  0.789  &  0.789  /  0.777  &  \textbf{0.815}  /  \textbf{0.806} 
\tabularnewline
kddcup guess passwd vs satan &  0.995  /  0.995  &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  \textbf{1.000}  /  \textbf{1.000} 
\tabularnewline
kr vs k three vs eleven &  \textbf{0.995}  /  \textbf{0.995}  &  \textbf{0.995}  /  \textbf{0.995}  &  0.992  /  0.992  &  \textbf{0.995}  /  \textbf{0.995} 
\tabularnewline
kr vs k zero one vs draw &  0.959  /  0.958  &  \textbf{0.972}  /  \textbf{0.971}  &  0.960  /  0.958  &  0.961  /  0.960 
\tabularnewline
shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  0.994  /  0.994  &  \textbf{1.000}  /  \textbf{1.000} 
\tabularnewline
winequality red 4 &  \textbf{0.133}  /  \textbf{0.095}  &  0.107  /  0.066  &  \textbf{0.133}  /  \textbf{0.095}  &  0.102  /  0.063 
\tabularnewline
yeast4 &  0.257  /  0.242  &  \textbf{0.351}  /  \textbf{0.329}  &  0.261  /  0.245  &  0.333  /  0.311 
\tabularnewline
yeast5 &  0.713  /  0.705  &  0.724  /  0.716  &  \textbf{0.731}  /  \textbf{0.723}  &  0.714  /  0.705 
\tabularnewline
yeast6 &  0.490  /  0.481  &  \textbf{0.564}  /  \textbf{0.554}  &  0.481  /  0.472  &  0.520  /  0.510 
\tabularnewline
\hline Average &  0.627  /  0.615  &  \textbf{0.654}  /  \textbf{0.642}  &  0.631  /  0.619  &  0.648  /  0.637 
\tabularnewline
\hline\end{tabular}\end{table*}


% ### KNN

\begin{table*}[ht]\scriptsize\caption{KNN}\label{tab:results:KNN:A}\centering\tabularnewline
\begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
\tabularnewline
\hline
abalone 17 vs 7 8 9 10 &  0.290  /  0.261  &  \textbf{0.315}  /  \textbf{0.296}  &  0.273  /  0.243  &  0.311  /  0.291 
\tabularnewline
abalone9 18 &  \textbf{0.361}  /  \textbf{0.305}  &  0.136  /  0.120  &  0.347  /  0.290  &  0.165  /  0.149 
\tabularnewline
car good &  0.558  /  0.531  &  0.509  /  0.479  &  0.534  /  0.505  &  \textbf{0.585}  /  \textbf{0.561} 
\tabularnewline
car vgood &  0.659  /  0.641  &  \textbf{0.879}  /  \textbf{0.874}  &  0.700  /  0.684  &  0.794  /  0.784 
\tabularnewline
flare F &  0.269  /  0.220  &  \textbf{0.306}  /  \textbf{0.265}  &  0.277  /  0.228  &  0.302  /  0.262 
\tabularnewline
hypothyroid &  0.576  /  0.548  &  0.606  /  0.582  &  0.578  /  0.551  &  \textbf{0.646}  /  \textbf{0.628} 
\tabularnewline
kddcup guess passwd vs satan &  0.982  /  0.982  &  \textbf{0.991}  /  \textbf{0.991}  &  0.985  /  0.985  &  \textbf{0.991}  /  \textbf{0.991} 
\tabularnewline
kr vs k three vs eleven &  0.895  /  0.891  &  \textbf{0.961}  /  \textbf{0.960}  &  0.894  /  0.890  &  0.925  /  0.923 
\tabularnewline
kr vs k zero one vs draw &  0.864  /  0.858  &  \textbf{0.897}  /  \textbf{0.892}  &  0.865  /  0.859  &  0.853  /  0.847 
\tabularnewline
shuttle 2 vs 5 &  0.954  /  0.954  &  0.932  /  0.931  &  \textbf{0.960}  /  \textbf{0.960}  &  0.943  /  0.942 
\tabularnewline
winequality red 4 &  \textbf{0.074}  /  \textbf{0.016}  &  0.058  /  -0.001  &  \textbf{0.074}  /  \textbf{0.016}  &  0.059  /  0.000 
\tabularnewline
yeast4 &  0.334  /  0.296  &  \textbf{0.348}  /  \textbf{0.313}  &  0.338  /  0.301  &  0.345  /  0.309 
\tabularnewline
yeast5 &  0.650  /  0.636  &  0.646  /  0.631  &  0.640  /  0.624  &  \textbf{0.659}  /  \textbf{0.645} 
\tabularnewline
yeast6 &  0.337  /  0.311  &  \textbf{0.426}  /  \textbf{0.406}  &  0.334  /  0.308  &  0.390  /  0.367 
\tabularnewline
\hline Average &  0.557  /  0.532  &  \textbf{0.572}  /  \textbf{0.553}  &  0.557  /  0.532  &  0.569  /  0.550 
\tabularnewline
\hline\end{tabular}\end{table*}


% ### DoC

\begin{table*}[ht]\scriptsize\caption{DoC}\label{tab:results:DoC:A}\centering\tabularnewline
\begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
\tabularnewline
\hline
abalone 17 vs 7 8 9 10 &  0.306  /  0.278  &  \textbf{0.393}  /  \textbf{0.372}  &  0.317  /  0.289  &  0.366  /  0.345 
\tabularnewline
abalone9 18 &  0.477  /  0.433  &  0.538  /  0.512  &  0.512  /  0.473  &  \textbf{0.549}  /  \textbf{0.525} 
\tabularnewline
car good &  0.741  /  0.729  &  0.659  /  0.646  &  \textbf{0.759}  /  \textbf{0.748}  &  0.577  /  0.558 
\tabularnewline
car vgood &  0.772  /  0.763  &  0.721  /  0.712  &  \textbf{0.776}  /  \textbf{0.766}  &  0.753  /  0.743 
\tabularnewline
flare F &  \textbf{0.321}  /  \textbf{0.279}  &  0.223  /  0.193  &  0.302  /  0.262  &  0.267  /  0.234 
\tabularnewline
hypothyroid &  0.627  /  0.604  &  \textbf{0.703}  /  \textbf{0.688}  &  0.625  /  0.602  &  0.690  /  0.674 
\tabularnewline
kddcup guess passwd vs satan &  0.991  /  0.991  &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  \textbf{1.000}  /  \textbf{1.000} 
\tabularnewline
kr vs k three vs eleven &  0.993  /  0.992  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.996}  /  \textbf{0.996} 
\tabularnewline
kr vs k zero one vs draw &  0.957  /  0.955  &  0.951  /  0.949  &  \textbf{0.965}  /  \textbf{0.964}  &  0.941  /  0.939 
\tabularnewline
shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  0.994  /  0.994  &  0.998  /  0.998 
\tabularnewline
winequality red 4 &  0.118  /  0.065  &  \textbf{0.123}  /  \textbf{0.073}  &  0.115  /  0.063  &  0.105  /  0.052 
\tabularnewline
yeast4 &  0.312  /  0.274  &  0.308  /  0.271  &  0.311  /  0.273  &  \textbf{0.334}  /  \textbf{0.299} 
\tabularnewline
yeast5 &  0.578  /  0.560  &  \textbf{0.652}  /  \textbf{0.639}  &  0.571  /  0.553  &  0.637  /  0.623 
\tabularnewline
yeast6 &  0.366  /  0.342  &  \textbf{0.491}  /  \textbf{0.475}  &  0.358  /  0.334  &  0.382  /  0.359 
\tabularnewline
\hline Average &  0.611  /  0.590  &  \textbf{0.625}  /  \textbf{0.609}  &  0.614  /  0.594  &  0.614  /  0.596 
\tabularnewline
\hline\end{tabular}\end{table*}

