\begin{table*}\label{fig:classifiers}
\begin{center}
\begin{tabular}{l||l|l|l|}
\cline{2-4}
& Clump & Ridor & Ripple Down Rules \\ \hline \hline
How Rules are Chosen & \begin{minipage}{120pt}The attribute value pair that decreases the mixuped-ness of the resulting dataset as described in \tion{scoring} is used to patch the tree.\end{minipage} & \begin{minipage}{120pt}The attribute value pair that has the maximum info gain is used to patch the tree.\end{minipage} & \begin{minipage}{120pt}A human creates the patch by examining the training instance and creating a patch manually.\end{minipage} \\ \hline
When to Make a Rule& \begin{minipage}{120pt}When the mixuped-ness as defined in \tion{scoring} passes a threshold.\end{minipage} & \begin{minipage}{120pt}When enough training instances have been misclassified. This is a runtime configuration option.\end{minipage} & \begin{minipage}{120pt}When a training instance is misclassified.\end{minipage} \\ \hline
Incremental or Batch&\begin{minipage}{120pt}Incremental or batch\end{minipage}&\begin{minipage}{120pt}Batch only\end{minipage}&\begin{minipage}{120pt}Incremental only\end{minipage}\\ \hline
\end{tabular}

\caption{Comparing the difference between classifiers: Clump, Ridor, and Traditional Ripple Down Rules}
\end{center}
\end{table*}
