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\begin{document}
\title{Here Be Dragons}
\institute{West Virginia University}
%\maketitle

\section{Harmonic Mean Quartiles}

%		 left                middle-left middle          right-middle right
%\boxplot{}{}{}{}{} \\

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{CM1, TRUE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & cm1 & IDEACLUSTER-0.5-logXY & TRUE & \boxplot{32.10}{33.00}{65.10}{7.30}{72.40} \\
2 & cm1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & TRUE & \boxplot{32.10}{32.70}{64.80}{7.60}{72.40} \\
3 & cm1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & TRUE & \boxplot{32.10}{32.70}{64.80}{7.60}{72.40} \\
4 & cm1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & TRUE & \boxplot{32.30}{32.50}{64.80}{10.70}{75.50} \\
5 & cm1 & log & TRUE & \boxplot{0.00}{62.60}{62.60}{14.10}{76.70} \\
5 & cm1 & IDEACLUSTER-PRUNED10\%-0.5-logX & TRUE & \boxplot{40.90}{18.50}{59.40}{16.70}{76.10} \\
6 & cm1 & IDEACLUSTER-PRUNED20\%-0.5-logX & TRUE & \boxplot{40.90}{18.50}{59.40}{16.70}{76.10} \\
7 & cm1 & IDEACLUSTER-PRUNED30\%-0.5-logX & TRUE & \boxplot{30.30}{29.10}{59.40}{16.70}{76.10} \\
8 & cm1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & TRUE & \boxplot{0.00}{59.10}{59.10}{16.50}{75.60} \\
9 & cm1 & IDEACLUSTER-PRUNED20\%-0.4-logXY & TRUE & \boxplot{0.00}{59.10}{59.10}{16.50}{75.60} \\
10 & cm1 & IDEACLUSTER-PRUNED30\%-0.4-logXY & TRUE & \boxplot{0.00}{58.70}{58.70}{16.90}{75.60} \\
11 & cm1 & IDEACLUSTER-0.5-logX & TRUE & \boxplot{40.90}{17.80}{58.70}{17.40}{76.10} \\
12 & cm1 & IDEACLUSTER-0.4-logXY & TRUE & \boxplot{0.00}{57.50}{57.50}{18.10}{75.60} \\
12 & cm1 & IDEACLUSTER-0.4-logX & TRUE & \boxplot{17.80}{36.50}{54.30}{21.30}{75.60} \\
13 & cm1 & IDEACLUSTER-PRUNED10\%-0.4-logY & TRUE & \boxplot{17.80}{36.00}{53.80}{17.60}{71.40} \\
14 & cm1 & IDEACLUSTER-PRUNED10\%-0.4-logX & TRUE & \boxplot{17.80}{35.30}{53.10}{22.50}{75.60} \\
15 & cm1 & IDEACLUSTER-PRUNED20\%-0.4-logX & TRUE & \boxplot{17.80}{35.30}{53.10}{22.50}{75.60} \\
16 & cm1 & IDEACLUSTER-PRUNED30\%-0.4-logX & TRUE & \boxplot{17.80}{35.30}{53.10}{22.50}{75.60} \\
17 & cm1 & IDEACLUSTER-0.5-logY & TRUE & \boxplot{17.30}{35.30}{52.60}{19.40}{72.00} \\
18 & cm1 & IDEACLUSTER-PRUNED10\%-0.5-logY & TRUE & \boxplot{17.30}{35.30}{52.60}{19.00}{71.60} \\
19 & cm1 & IDEACLUSTER-PRUNED20\%-0.5-logY & TRUE & \boxplot{17.30}{35.30}{52.60}{19.00}{71.60} \\
19 & cm1 & IDEACLUSTER-0.4-logY & TRUE & \boxplot{17.50}{34.50}{52.00}{19.40}{71.40} \\
19 & cm1 & IDEACLUSTER-PRUNED30\%-0.5 & TRUE & \boxplot{30.90}{21.10}{52.00}{19.10}{71.10} \\
20 & cm1 & IDEACLUSTER-PRUNED30\%-0.5-logY & TRUE & \boxplot{17.30}{34.60}{51.90}{19.70}{71.60} \\
21 & cm1 & IDEACLUSTER-PRUNED20\%-0.4-logY & TRUE & \boxplot{17.50}{34.30}{51.80}{19.60}{71.40} \\
22 & cm1 & IDEACLUSTER-PRUNED20\%-0.5 & TRUE & \boxplot{31.10}{20.40}{51.50}{19.60}{71.10} \\
23 & cm1 & IDEACLUSTER-PRUNED30\%-0.4-logY & TRUE & \boxplot{17.70}{33.50}{51.20}{18.60}{69.80} \\
24 & cm1 & IDEACLUSTER-0.5 & TRUE & \boxplot{31.10}{18.90}{50.00}{18.20}{68.20} \\
25 & cm1 & IDEACLUSTER-PRUNED10\%-0.5 & TRUE & \boxplot{31.10}{18.60}{49.70}{18.50}{68.20} \\
26 & cm1 & IDEACLUSTER-0.2-logXY & TRUE & \boxplot{0.00}{44.20}{44.20}{23.60}{67.80} \\
27 & cm1 & IDEACLUSTER-PRUNED10\%-0.2-logXY & TRUE & \boxplot{0.00}{44.10}{44.10}{23.70}{67.80} \\
28 & cm1 & IDEACLUSTER-PRUNED20\%-0.2-logXY & TRUE & \boxplot{0.00}{44.10}{44.10}{23.70}{67.80} \\
28 & cm1 & IDEACLUSTER-PRUNED30\%-0.2-logX & TRUE & \boxplot{0.00}{43.90}{43.90}{19.20}{63.10} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{CM1, FALSE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & cm1 & IDEACLUSTER-0.5-logXY & FALSE & \boxplot{32.10}{33.00}{65.10}{7.30}{72.40} \\
1 & cm1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & FALSE & \boxplot{32.10}{32.70}{64.80}{7.60}{72.40} \\
1 & cm1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & FALSE & \boxplot{32.10}{32.70}{64.80}{7.60}{72.40} \\
1 & cm1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & FALSE & \boxplot{32.30}{32.50}{64.80}{10.70}{75.50} \\
2 & cm1 & log & FALSE & \boxplot{0.00}{62.60}{62.60}{14.10}{76.70} \\
3 & cm1 & IDEACLUSTER-PRUNED10\%-0.5-logX & FALSE & \boxplot{40.90}{18.50}{59.40}{16.70}{76.10} \\
3 & cm1 & IDEACLUSTER-PRUNED20\%-0.5-logX & FALSE & \boxplot{40.90}{18.50}{59.40}{16.70}{76.10} \\
3 & cm1 & IDEACLUSTER-PRUNED30\%-0.5-logX & FALSE & \boxplot{30.30}{29.10}{59.40}{16.70}{76.10} \\
3 & cm1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & FALSE & \boxplot{0.00}{59.10}{59.10}{16.50}{75.60} \\
4 & cm1 & IDEACLUSTER-PRUNED20\%-0.4-logXY & FALSE & \boxplot{0.00}{59.10}{59.10}{16.50}{75.60} \\
4 & cm1 & IDEACLUSTER-PRUNED30\%-0.4-logXY & FALSE & \boxplot{0.00}{58.70}{58.70}{16.90}{75.60} \\
5 & cm1 & IDEACLUSTER-0.5-logX & FALSE & \boxplot{40.90}{17.80}{58.70}{17.40}{76.10} \\
6 & cm1 & IDEACLUSTER-0.4-logXY & FALSE & \boxplot{0.00}{57.50}{57.50}{18.10}{75.60} \\
7 & cm1 & IDEACLUSTER-0.4-logX & FALSE & \boxplot{17.80}{36.50}{54.30}{21.30}{75.60} \\
8 & cm1 & IDEACLUSTER-PRUNED10\%-0.4-logY & FALSE & \boxplot{17.80}{36.00}{53.80}{17.60}{71.40} \\
9 & cm1 & IDEACLUSTER-PRUNED10\%-0.4-logX & FALSE & \boxplot{17.80}{35.30}{53.10}{22.50}{75.60} \\
10 & cm1 & IDEACLUSTER-PRUNED20\%-0.4-logX & FALSE & \boxplot{17.80}{35.30}{53.10}{22.50}{75.60} \\
11 & cm1 & IDEACLUSTER-PRUNED30\%-0.4-logX & FALSE & \boxplot{17.80}{35.30}{53.10}{22.50}{75.60} \\
11 & cm1 & IDEACLUSTER-0.5-logY & FALSE & \boxplot{17.30}{35.30}{52.60}{19.40}{72.00} \\
12 & cm1 & IDEACLUSTER-PRUNED10\%-0.5-logY & FALSE & \boxplot{17.30}{35.30}{52.60}{19.00}{71.60} \\
13 & cm1 & IDEACLUSTER-PRUNED20\%-0.5-logY & FALSE & \boxplot{17.30}{35.30}{52.60}{19.00}{71.60} \\
14 & cm1 & IDEACLUSTER-0.4-logY & FALSE & \boxplot{17.50}{34.50}{52.00}{19.40}{71.40} \\
15 & cm1 & IDEACLUSTER-PRUNED30\%-0.5 & FALSE & \boxplot{30.90}{21.10}{52.00}{19.10}{71.10} \\
15 & cm1 & IDEACLUSTER-PRUNED30\%-0.5-logY & FALSE & \boxplot{17.30}{34.60}{51.90}{19.70}{71.60} \\
16 & cm1 & IDEACLUSTER-PRUNED20\%-0.4-logY & FALSE & \boxplot{17.50}{34.30}{51.80}{19.60}{71.40} \\
17 & cm1 & IDEACLUSTER-PRUNED20\%-0.5 & FALSE & \boxplot{31.10}{20.40}{51.50}{19.60}{71.10} \\
18 & cm1 & IDEACLUSTER-PRUNED30\%-0.4-logY & FALSE & \boxplot{17.70}{33.50}{51.20}{18.60}{69.80} \\
19 & cm1 & IDEACLUSTER-0.5 & FALSE & \boxplot{31.10}{18.90}{50.00}{18.20}{68.20} \\
19 & cm1 & IDEACLUSTER-PRUNED10\%-0.5 & FALSE & \boxplot{31.10}{18.60}{49.70}{18.50}{68.20} \\
19 & cm1 & IDEACLUSTER-0.2-logXY & FALSE & \boxplot{0.00}{44.20}{44.20}{23.60}{67.80} \\
20 & cm1 & IDEACLUSTER-PRUNED10\%-0.2-logXY & FALSE & \boxplot{0.00}{44.10}{44.10}{23.70}{67.80} \\
21 & cm1 & IDEACLUSTER-PRUNED20\%-0.2-logXY & FALSE & \boxplot{0.00}{44.10}{44.10}{23.70}{67.80} \\
21 & cm1 & IDEACLUSTER-PRUNED30\%-0.2-logX & FALSE & \boxplot{0.00}{43.90}{43.90}{19.20}{63.10} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{KC1, TRUE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & kc1 & log & TRUE & \boxplot{64.60}{5.20}{69.80}{6.80}{76.60} \\
2 & kc1 & IDEACLUSTER-0.5-logXY & TRUE & \boxplot{57.40}{10.50}{67.90}{5.90}{73.80} \\
3 & kc1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & TRUE & \boxplot{58.40}{9.50}{67.90}{5.90}{73.80} \\
4 & kc1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & TRUE & \boxplot{58.40}{9.50}{67.90}{7.80}{75.70} \\
5 & kc1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & TRUE & \boxplot{0.00}{67.90}{67.90}{7.80}{75.70} \\
6 & kc1 & IDEACLUSTER-PRUNED30\%-0.4-logXY & TRUE & \boxplot{54.40}{10.60}{65.00}{8.30}{73.30} \\
7 & kc1 & IDEACLUSTER-PRUNED30\%-0.5-logX & TRUE & \boxplot{54.50}{9.30}{63.80}{4.40}{68.20} \\
8 & kc1 & IDEACLUSTER-PRUNED20\%-0.5-logX & TRUE & \boxplot{54.50}{9.00}{63.50}{4.90}{68.40} \\
9 & kc1 & IDEACLUSTER-0.4-logXY & TRUE & \boxplot{54.60}{8.70}{63.30}{8.30}{71.60} \\
9 & kc1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & TRUE & \boxplot{54.60}{8.70}{63.30}{9.30}{72.60} \\
10 & kc1 & IDEACLUSTER-PRUNED20\%-0.4-logX & TRUE & \boxplot{52.70}{10.50}{63.20}{10.10}{73.30} \\
10 & kc1 & IDEACLUSTER-PRUNED10\%-0.5-logX & TRUE & \boxplot{54.50}{8.70}{63.20}{5.20}{68.40} \\
10 & kc1 & IDEACLUSTER-PRUNED20\%-0.4-logXY & TRUE & \boxplot{54.40}{8.70}{63.10}{10.20}{73.30} \\
11 & kc1 & IDEACLUSTER-0.5-logX & TRUE & \boxplot{53.00}{9.70}{62.70}{5.70}{68.40} \\
12 & kc1 & IDEACLUSTER-0.4-logX & TRUE & \boxplot{51.20}{11.10}{62.30}{10.50}{72.80} \\
13 & kc1 & IDEACLUSTER-PRUNED10\%-0.4-logX & TRUE & \boxplot{52.40}{9.90}{62.30}{10.10}{72.40} \\
13 & kc1 & IDEACLUSTER-PRUNED30\%-0.4-logX & TRUE & \boxplot{52.70}{8.90}{61.60}{11.70}{73.30} \\
14 & kc1 & None & TRUE & \boxplot{50.20}{8.80}{59.00}{12.60}{71.60} \\
15 & kc1 & IDEACLUSTER-0.2-logXY & TRUE & \boxplot{35.70}{22.90}{58.60}{11.70}{70.30} \\
16 & kc1 & IDEACLUSTER-PRUNED20\%-0.2-logXY & TRUE & \boxplot{33.60}{25.00}{58.60}{12.30}{70.90} \\
16 & kc1 & IDEACLUSTER-PRUNED10\%-0.2-logXY & TRUE & \boxplot{33.60}{24.90}{58.50}{12.20}{70.70} \\
17 & kc1 & IDEACLUSTER-PRUNED30\%-0.2-logXY & TRUE & \boxplot{31.90}{26.00}{57.90}{13.10}{71.00} \\
17 & kc1 & IDEACLUSTER-PRUNED30\%-0.2-logX & TRUE & \boxplot{39.50}{17.50}{57.00}{9.20}{66.20} \\
18 & kc1 & IDEACLUSTER-PRUNED20\%-0.4-logY & TRUE & \boxplot{43.90}{13.00}{56.90}{14.70}{71.60} \\
19 & kc1 & IDEACLUSTER-PRUNED10\%-0.2-logX & TRUE & \boxplot{39.40}{17.40}{56.80}{9.00}{65.80} \\
20 & kc1 & IDEACLUSTER-0.2-logX & TRUE & \boxplot{40.60}{15.80}{56.40}{9.40}{65.80} \\
21 & kc1 & IDEACLUSTER-PRUNED20\%-0.2-logX & TRUE & \boxplot{39.80}{16.40}{56.20}{10.80}{67.00} \\
22 & kc1 & IDEACLUSTER-PRUNED30\%-0.4-logY & TRUE & \boxplot{41.60}{14.10}{55.70}{15.50}{71.20} \\
23 & kc1 & IDEACLUSTER-0.2 & TRUE & \boxplot{44.40}{11.20}{55.60}{9.10}{64.70} \\
24 & kc1 & IDEACLUSTER-PRUNED30\%-0.5-logY & TRUE & \boxplot{44.20}{11.40}{55.60}{12.50}{68.10} \\
24 & kc1 & IDEACLUSTER-PRUNED10\%-0.5-logY & TRUE & \boxplot{44.90}{9.90}{54.80}{13.30}{68.10} \\
25 & kc1 & IDEACLUSTER-PRUNED20\%-0.5-logY & TRUE & \boxplot{44.70}{10.10}{54.80}{13.30}{68.10} \\
25 & kc1 & IDEACLUSTER-PRUNED10\%-0.4-logY & TRUE & \boxplot{43.90}{10.80}{54.70}{16.00}{70.70} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{KC1, FALSE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & kc1 & log & FALSE & \boxplot{64.60}{5.20}{69.80}{6.80}{76.60} \\
2 & kc1 & IDEACLUSTER-0.5-logXY & FALSE & \boxplot{57.40}{10.50}{67.90}{5.90}{73.80} \\
2 & kc1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & FALSE & \boxplot{58.40}{9.50}{67.90}{5.90}{73.80} \\
3 & kc1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & FALSE & \boxplot{58.40}{9.50}{67.90}{7.80}{75.70} \\
4 & kc1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & FALSE & \boxplot{0.00}{67.90}{67.90}{7.80}{75.70} \\
5 & kc1 & IDEACLUSTER-PRUNED30\%-0.4-logXY & FALSE & \boxplot{54.40}{10.60}{65.00}{8.30}{73.30} \\
6 & kc1 & IDEACLUSTER-PRUNED30\%-0.5-logX & FALSE & \boxplot{54.50}{9.30}{63.80}{4.40}{68.20} \\
7 & kc1 & IDEACLUSTER-PRUNED20\%-0.5-logX & FALSE & \boxplot{54.50}{9.00}{63.50}{4.90}{68.40} \\
8 & kc1 & IDEACLUSTER-0.4-logXY & FALSE & \boxplot{54.60}{8.70}{63.30}{8.30}{71.60} \\
9 & kc1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & FALSE & \boxplot{54.60}{8.70}{63.30}{9.30}{72.60} \\
9 & kc1 & IDEACLUSTER-PRUNED20\%-0.4-logX & FALSE & \boxplot{52.70}{10.50}{63.20}{10.10}{73.30} \\
10 & kc1 & IDEACLUSTER-PRUNED10\%-0.5-logX & FALSE & \boxplot{54.50}{8.70}{63.20}{5.20}{68.40} \\
11 & kc1 & IDEACLUSTER-PRUNED20\%-0.4-logXY & FALSE & \boxplot{54.40}{8.70}{63.10}{10.20}{73.30} \\
12 & kc1 & IDEACLUSTER-0.5-logX & FALSE & \boxplot{53.00}{9.70}{62.70}{5.70}{68.40} \\
13 & kc1 & IDEACLUSTER-0.4-logX & FALSE & \boxplot{51.20}{11.10}{62.30}{10.50}{72.80} \\
14 & kc1 & IDEACLUSTER-PRUNED10\%-0.4-logX & FALSE & \boxplot{52.40}{9.90}{62.30}{10.10}{72.40} \\
15 & kc1 & IDEACLUSTER-PRUNED30\%-0.4-logX & FALSE & \boxplot{52.70}{8.90}{61.60}{11.70}{73.30} \\
16 & kc1 & None & FALSE & \boxplot{50.20}{8.80}{59.00}{12.60}{71.60} \\
17 & kc1 & IDEACLUSTER-0.2-logXY & FALSE & \boxplot{35.70}{22.90}{58.60}{11.70}{70.30} \\
17 & kc1 & IDEACLUSTER-PRUNED20\%-0.2-logXY & FALSE & \boxplot{33.60}{25.00}{58.60}{12.30}{70.90} \\
18 & kc1 & IDEACLUSTER-PRUNED10\%-0.2-logXY & FALSE & \boxplot{33.60}{24.90}{58.50}{12.20}{70.70} \\
19 & kc1 & IDEACLUSTER-PRUNED30\%-0.2-logXY & FALSE & \boxplot{31.90}{26.00}{57.90}{13.10}{71.00} \\
19 & kc1 & IDEACLUSTER-PRUNED30\%-0.2-logX & FALSE & \boxplot{39.50}{17.50}{57.00}{9.20}{66.20} \\
20 & kc1 & IDEACLUSTER-PRUNED20\%-0.4-logY & FALSE & \boxplot{43.90}{13.00}{56.90}{14.70}{71.60} \\
20 & kc1 & IDEACLUSTER-PRUNED10\%-0.2-logX & FALSE & \boxplot{39.40}{17.40}{56.80}{9.00}{65.80} \\
21 & kc1 & IDEACLUSTER-0.2-logX & FALSE & \boxplot{40.60}{15.80}{56.40}{9.40}{65.80} \\
22 & kc1 & IDEACLUSTER-PRUNED20\%-0.2-logX & FALSE & \boxplot{39.80}{16.40}{56.20}{10.80}{67.00} \\
23 & kc1 & IDEACLUSTER-PRUNED30\%-0.4-logY & FALSE & \boxplot{41.60}{14.10}{55.70}{15.50}{71.20} \\
24 & kc1 & IDEACLUSTER-0.2 & FALSE & \boxplot{44.40}{11.20}{55.60}{9.10}{64.70} \\
24 & kc1 & IDEACLUSTER-PRUNED30\%-0.5-logY & FALSE & \boxplot{44.20}{11.40}{55.60}{12.50}{68.10} \\
24 & kc1 & IDEACLUSTER-PRUNED10\%-0.5-logY & FALSE & \boxplot{44.90}{9.90}{54.80}{13.30}{68.10} \\
25 & kc1 & IDEACLUSTER-PRUNED20\%-0.5-logY & FALSE & \boxplot{44.70}{10.10}{54.80}{13.30}{68.10} \\
26 & kc1 & IDEACLUSTER-PRUNED10\%-0.4-logY & FALSE & \boxplot{43.90}{10.80}{54.70}{16.00}{70.70} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{KC2, TRUE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & kc2 & log & TRUE & \boxplot{62.40}{10.10}{72.50}{8.60}{81.10} \\
1 & kc2 & IDEACLUSTER-0.5-logXY & TRUE & \boxplot{41.70}{30.40}{72.10}{11.20}{83.30} \\
1 & kc2 & IDEACLUSTER-PRUNED10\%-0.5-logXY & TRUE & \boxplot{41.70}{29.60}{71.30}{12.00}{83.30} \\
2 & kc2 & IDEACLUSTER-PRUNED20\%-0.5-logXY & TRUE & \boxplot{41.70}{29.60}{71.30}{12.00}{83.30} \\
2 & kc2 & IDEACLUSTER-PRUNED30\%-0.5-logXY & TRUE & \boxplot{41.70}{28.50}{70.20}{13.10}{83.30} \\
3 & kc2 & IDEACLUSTER-0.4-logXY & TRUE & \boxplot{47.00}{22.50}{69.50}{14.50}{84.00} \\
3 & kc2 & IDEACLUSTER-PRUNED30\%-0.4-logXY & TRUE & \boxplot{41.70}{27.80}{69.50}{14.50}{84.00} \\
4 & kc2 & IDEACLUSTER-PRUNED10\%-0.4-logXY & TRUE & \boxplot{41.40}{27.80}{69.20}{14.80}{84.00} \\
5 & kc2 & IDEACLUSTER-PRUNED20\%-0.4-logXY & TRUE & \boxplot{41.70}{27.50}{69.20}{14.80}{84.00} \\
6 & kc2 & None & TRUE & \boxplot{47.20}{18.60}{65.80}{13.80}{79.60} \\
7 & kc2 & IDEACLUSTER-0.2-logXY & TRUE & \boxplot{43.80}{20.90}{64.70}{15.40}{80.10} \\
8 & kc2 & IDEACLUSTER-0.4-logX & TRUE & \boxplot{16.50}{46.70}{63.20}{14.00}{77.20} \\
8 & kc2 & IDEACLUSTER-PRUNED30\%-0.5-logX & TRUE & \boxplot{24.80}{37.70}{62.50}{18.90}{81.40} \\
9 & kc2 & IDEACLUSTER-PRUNED10\%-0.4-logX & TRUE & \boxplot{16.50}{45.70}{62.20}{15.00}{77.20} \\
9 & kc2 & IDEACLUSTER-PRUNED20\%-0.4-logX & TRUE & \boxplot{16.50}{45.60}{62.10}{15.10}{77.20} \\
10 & kc2 & IDEACLUSTER-0.5-logX & TRUE & \boxplot{29.20}{32.90}{62.10}{16.50}{78.60} \\
11 & kc2 & IDEACLUSTER-PRUNED30\%-0.4-logX & TRUE & \boxplot{16.50}{45.40}{61.90}{15.30}{77.20} \\
11 & kc2 & IDEACLUSTER-PRUNED10\%-0.2-logXY & TRUE & \boxplot{8.70}{53.10}{61.80}{18.30}{80.10} \\
12 & kc2 & IDEACLUSTER-0.4-logY & TRUE & \boxplot{29.70}{31.70}{61.40}{18.20}{79.60} \\
13 & kc2 & IDEACLUSTER-PRUNED10\%-0.5-logX & TRUE & \boxplot{24.80}{35.50}{60.30}{21.10}{81.40} \\
14 & kc2 & IDEACLUSTER-PRUNED20\%-0.5-logX & TRUE & \boxplot{24.80}{35.50}{60.30}{21.10}{81.40} \\
15 & kc2 & IDEACLUSTER-PRUNED10\%-0.4 & TRUE & \boxplot{30.10}{30.10}{60.20}{11.70}{71.90} \\
16 & kc2 & IDEACLUSTER-PRUNED20\%-0.2-logXY & TRUE & \boxplot{8.70}{49.90}{58.60}{21.50}{80.10} \\
17 & kc2 & IDEACLUSTER-PRUNED20\%-0.4 & TRUE & \boxplot{16.60}{41.50}{58.10}{13.80}{71.90} \\
18 & kc2 & IDEACLUSTER-PRUNED30\%-0.4 & TRUE & \boxplot{16.60}{41.50}{58.10}{15.70}{73.80} \\
18 & kc2 & IDEACLUSTER-0.1-logXY & TRUE & \boxplot{0.00}{57.40}{57.40}{22.20}{79.60} \\
19 & kc2 & IDEACLUSTER-PRUNED10\%-0.1-logXY & TRUE & \boxplot{0.00}{57.40}{57.40}{24.10}{81.50} \\
20 & kc2 & IDEACLUSTER-0.5 & TRUE & \boxplot{23.70}{33.40}{57.10}{17.80}{74.90} \\
21 & kc2 & IDEACLUSTER-PRUNED30\%-0.4-logY & TRUE & \boxplot{29.70}{27.20}{56.90}{20.80}{77.70} \\
22 & kc2 & IDEACLUSTER-PRUNED10\%-0.4-logY & TRUE & \boxplot{29.70}{26.00}{55.70}{22.00}{77.70} \\
23 & kc2 & IDEACLUSTER-PRUNED20\%-0.4-logY & TRUE & \boxplot{29.70}{26.00}{55.70}{22.00}{77.70} \\
24 & kc2 & IDEACLUSTER-0.2-logY & TRUE & \boxplot{23.40}{32.20}{55.60}{20.20}{75.80} \\
25 & kc2 & IDEACLUSTER-0.4 & TRUE & \boxplot{30.10}{25.30}{55.40}{24.40}{79.80} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{KC2, FALSE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & kc2 & log & FALSE & \boxplot{62.40}{10.10}{72.50}{8.60}{81.10} \\
2 & kc2 & IDEACLUSTER-0.5-logXY & FALSE & \boxplot{41.70}{30.40}{72.10}{11.20}{83.30} \\
3 & kc2 & IDEACLUSTER-PRUNED10\%-0.5-logXY & FALSE & \boxplot{41.70}{29.60}{71.30}{12.00}{83.30} \\
4 & kc2 & IDEACLUSTER-PRUNED20\%-0.5-logXY & FALSE & \boxplot{41.70}{29.60}{71.30}{12.00}{83.30} \\
4 & kc2 & IDEACLUSTER-PRUNED30\%-0.5-logXY & FALSE & \boxplot{41.70}{28.50}{70.20}{13.10}{83.30} \\
4 & kc2 & IDEACLUSTER-0.4-logXY & FALSE & \boxplot{47.00}{22.50}{69.50}{14.50}{84.00} \\
4 & kc2 & IDEACLUSTER-PRUNED30\%-0.4-logXY & FALSE & \boxplot{41.70}{27.80}{69.50}{14.50}{84.00} \\
5 & kc2 & IDEACLUSTER-PRUNED10\%-0.4-logXY & FALSE & \boxplot{41.40}{27.80}{69.20}{14.80}{84.00} \\
6 & kc2 & IDEACLUSTER-PRUNED20\%-0.4-logXY & FALSE & \boxplot{41.70}{27.50}{69.20}{14.80}{84.00} \\
7 & kc2 & None & FALSE & \boxplot{47.20}{18.60}{65.80}{13.80}{79.60} \\
7 & kc2 & IDEACLUSTER-0.2-logXY & FALSE & \boxplot{43.80}{20.90}{64.70}{15.40}{80.10} \\
8 & kc2 & IDEACLUSTER-0.4-logX & FALSE & \boxplot{16.50}{46.70}{63.20}{14.00}{77.20} \\
9 & kc2 & IDEACLUSTER-PRUNED30\%-0.5-logX & FALSE & \boxplot{24.80}{37.70}{62.50}{18.90}{81.40} \\
10 & kc2 & IDEACLUSTER-PRUNED10\%-0.4-logX & FALSE & \boxplot{16.50}{45.70}{62.20}{15.00}{77.20} \\
11 & kc2 & IDEACLUSTER-PRUNED20\%-0.4-logX & FALSE & \boxplot{16.50}{45.60}{62.10}{15.10}{77.20} \\
11 & kc2 & IDEACLUSTER-0.5-logX & FALSE & \boxplot{29.20}{32.90}{62.10}{16.50}{78.60} \\
12 & kc2 & IDEACLUSTER-PRUNED30\%-0.4-logX & FALSE & \boxplot{16.50}{45.40}{61.90}{15.30}{77.20} \\
13 & kc2 & IDEACLUSTER-PRUNED10\%-0.2-logXY & FALSE & \boxplot{8.70}{53.10}{61.80}{18.30}{80.10} \\
14 & kc2 & IDEACLUSTER-0.4-logY & FALSE & \boxplot{29.70}{31.70}{61.40}{18.20}{79.60} \\
15 & kc2 & IDEACLUSTER-PRUNED10\%-0.5-logX & FALSE & \boxplot{24.80}{35.50}{60.30}{21.10}{81.40} \\
16 & kc2 & IDEACLUSTER-PRUNED20\%-0.5-logX & FALSE & \boxplot{24.80}{35.50}{60.30}{21.10}{81.40} \\
16 & kc2 & IDEACLUSTER-PRUNED10\%-0.4 & FALSE & \boxplot{30.10}{30.10}{60.20}{11.70}{71.90} \\
16 & kc2 & IDEACLUSTER-PRUNED20\%-0.2-logXY & FALSE & \boxplot{8.70}{49.90}{58.60}{21.50}{80.10} \\
17 & kc2 & IDEACLUSTER-PRUNED20\%-0.4 & FALSE & \boxplot{16.60}{41.50}{58.10}{13.80}{71.90} \\
18 & kc2 & IDEACLUSTER-PRUNED30\%-0.4 & FALSE & \boxplot{16.60}{41.50}{58.10}{15.70}{73.80} \\
19 & kc2 & IDEACLUSTER-0.1-logXY & FALSE & \boxplot{0.00}{57.40}{57.40}{22.20}{79.60} \\
19 & kc2 & IDEACLUSTER-PRUNED10\%-0.1-logXY & FALSE & \boxplot{0.00}{57.40}{57.40}{24.10}{81.50} \\
19 & kc2 & IDEACLUSTER-0.5 & FALSE & \boxplot{23.70}{33.40}{57.10}{17.80}{74.90} \\
19 & kc2 & IDEACLUSTER-PRUNED30\%-0.4-logY & FALSE & \boxplot{29.70}{27.20}{56.90}{20.80}{77.70} \\
20 & kc2 & IDEACLUSTER-PRUNED10\%-0.4-logY & FALSE & \boxplot{29.70}{26.00}{55.70}{22.00}{77.70} \\
20 & kc2 & IDEACLUSTER-PRUNED20\%-0.4-logY & FALSE & \boxplot{29.70}{26.00}{55.70}{22.00}{77.70} \\
21 & kc2 & IDEACLUSTER-0.2-logY & FALSE & \boxplot{23.40}{32.20}{55.60}{20.20}{75.80} \\
22 & kc2 & IDEACLUSTER-0.4 & FALSE & \boxplot{30.10}{25.30}{55.40}{24.40}{79.80} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{KC3, TRUE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & kc3 & IDEACLUSTER-PRUNED20\%-0.5-logXY & TRUE & \boxplot{33.90}{34.60}{68.50}{10.70}{79.20} \\
1 & kc3 & IDEACLUSTER-PRUNED30\%-0.5-logXY & TRUE & \boxplot{47.00}{21.50}{68.50}{10.70}{79.20} \\
1 & kc3 & IDEACLUSTER-0.5-logXY & TRUE & \boxplot{33.70}{31.90}{65.60}{13.60}{79.20} \\
2 & kc3 & IDEACLUSTER-PRUNED10\%-0.5-logXY & TRUE & \boxplot{33.90}{31.70}{65.60}{13.60}{79.20} \\
2 & kc3 & log & TRUE & \boxplot{53.10}{11.90}{65.00}{11.50}{76.50} \\
3 & kc3 & IDEACLUSTER-0.4-logXY & TRUE & \boxplot{21.50}{40.90}{62.40}{16.70}{79.10} \\
3 & kc3 & IDEACLUSTER-PRUNED10\%-0.4-logXY & TRUE & \boxplot{35.10}{27.30}{62.40}{15.80}{78.20} \\
4 & kc3 & IDEACLUSTER-PRUNED20\%-0.4-logXY & TRUE & \boxplot{21.90}{40.50}{62.40}{15.80}{78.20} \\
5 & kc3 & IDEACLUSTER-PRUNED30\%-0.4-logXY & TRUE & \boxplot{19.60}{42.80}{62.40}{15.80}{78.20} \\
6 & kc3 & IDEACLUSTER-PRUNED10\%-0.4-logY & TRUE & \boxplot{0.00}{62.20}{62.20}{23.10}{85.30} \\
7 & kc3 & IDEACLUSTER-PRUNED20\%-0.4-logY & TRUE & \boxplot{0.00}{62.20}{62.20}{25.50}{87.70} \\
7 & kc3 & IDEACLUSTER-PRUNED10\%-0.5-logY & TRUE & \boxplot{0.00}{61.50}{61.50}{19.90}{81.40} \\
8 & kc3 & IDEACLUSTER-PRUNED10\%-0.4-logX & TRUE & \boxplot{0.00}{61.10}{61.10}{19.40}{80.50} \\
9 & kc3 & IDEACLUSTER-PRUNED20\%-0.4-logX & TRUE & \boxplot{19.70}{41.40}{61.10}{19.40}{80.50} \\
10 & kc3 & IDEACLUSTER-PRUNED30\%-0.4-logY & TRUE & \boxplot{0.00}{60.70}{60.70}{27.00}{87.70} \\
11 & kc3 & IDEACLUSTER-0.5-logY & TRUE & \boxplot{0.00}{60.70}{60.70}{20.70}{81.40} \\
12 & kc3 & IDEACLUSTER-0.5-logX & TRUE & \boxplot{0.00}{59.50}{59.50}{21.10}{80.60} \\
12 & kc3 & None & TRUE & \boxplot{52.60}{6.90}{59.50}{6.00}{65.50} \\
13 & kc3 & IDEACLUSTER-PRUNED10\%-0.5-logX & TRUE & \boxplot{0.00}{58.90}{58.90}{21.60}{80.50} \\
14 & kc3 & IDEACLUSTER-0.4-logX & TRUE & \boxplot{0.00}{58.80}{58.80}{21.70}{80.50} \\
15 & kc3 & IDEACLUSTER-0.4-logY & TRUE & \boxplot{19.80}{38.90}{58.70}{26.60}{85.30} \\
16 & kc3 & IDEACLUSTER-PRUNED20\%-0.5-logY & TRUE & \boxplot{19.10}{39.60}{58.70}{22.70}{81.40} \\
16 & kc3 & IDEACLUSTER-PRUNED20\%-0.5-logX & TRUE & \boxplot{0.00}{57.90}{57.90}{22.60}{80.50} \\
17 & kc3 & IDEACLUSTER-PRUNED30\%-0.5-logX & TRUE & \boxplot{0.00}{56.70}{56.70}{23.80}{80.50} \\
17 & kc3 & IDEACLUSTER-PRUNED30\%-0.5-logY & TRUE & \boxplot{0.00}{55.70}{55.70}{19.20}{74.90} \\
18 & kc3 & IDEACLUSTER-PRUNED20\%-0.2-logX & TRUE & \boxplot{0.00}{54.20}{54.20}{23.70}{77.90} \\
19 & kc3 & IDEACLUSTER-PRUNED30\%-0.4-logX & TRUE & \boxplot{0.00}{54.00}{54.00}{26.50}{80.50} \\
20 & kc3 & IDEACLUSTER-PRUNED30\%-0.2-logX & TRUE & \boxplot{0.00}{53.80}{53.80}{28.70}{82.50} \\
20 & kc3 & IDEACLUSTER-0.5 & TRUE & \boxplot{0.00}{52.40}{52.40}{26.20}{78.60} \\
21 & kc3 & IDEACLUSTER-PRUNED10\%-0.2-logX & TRUE & \boxplot{0.00}{49.20}{49.20}{28.70}{77.90} \\
21 & kc3 & IDEACLUSTER-PRUNED30\%-0.2-logXY & TRUE & \boxplot{0.00}{49.20}{49.20}{24.40}{73.60} \\
22 & kc3 & IDEACLUSTER-PRUNED20\%-0.2-logXY & TRUE & \boxplot{0.00}{48.70}{48.70}{30.50}{79.20} \\
22 & kc3 & IDEACLUSTER-0.4 & TRUE & \boxplot{0.00}{48.70}{48.70}{32.20}{80.90} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{KC3, FALSE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & kc3 & IDEACLUSTER-PRUNED20\%-0.5-logXY & FALSE & \boxplot{33.90}{34.60}{68.50}{10.70}{79.20} \\
2 & kc3 & IDEACLUSTER-PRUNED30\%-0.5-logXY & FALSE & \boxplot{47.00}{21.50}{68.50}{10.70}{79.20} \\
3 & kc3 & IDEACLUSTER-0.5-logXY & FALSE & \boxplot{33.70}{31.90}{65.60}{13.60}{79.20} \\
4 & kc3 & IDEACLUSTER-PRUNED10\%-0.5-logXY & FALSE & \boxplot{33.90}{31.70}{65.60}{13.60}{79.20} \\
5 & kc3 & log & FALSE & \boxplot{53.10}{11.90}{65.00}{11.50}{76.50} \\
6 & kc3 & IDEACLUSTER-0.4-logXY & FALSE & \boxplot{21.50}{40.90}{62.40}{16.70}{79.10} \\
6 & kc3 & IDEACLUSTER-PRUNED10\%-0.4-logXY & FALSE & \boxplot{35.10}{27.30}{62.40}{15.80}{78.20} \\
6 & kc3 & IDEACLUSTER-PRUNED20\%-0.4-logXY & FALSE & \boxplot{21.90}{40.50}{62.40}{15.80}{78.20} \\
7 & kc3 & IDEACLUSTER-PRUNED30\%-0.4-logXY & FALSE & \boxplot{19.60}{42.80}{62.40}{15.80}{78.20} \\
8 & kc3 & IDEACLUSTER-PRUNED10\%-0.4-logY & FALSE & \boxplot{0.00}{62.20}{62.20}{23.10}{85.30} \\
9 & kc3 & IDEACLUSTER-PRUNED20\%-0.4-logY & FALSE & \boxplot{0.00}{62.20}{62.20}{25.50}{87.70} \\
10 & kc3 & IDEACLUSTER-PRUNED10\%-0.5-logY & FALSE & \boxplot{0.00}{61.50}{61.50}{19.90}{81.40} \\
11 & kc3 & IDEACLUSTER-PRUNED10\%-0.4-logX & FALSE & \boxplot{0.00}{61.10}{61.10}{19.40}{80.50} \\
12 & kc3 & IDEACLUSTER-PRUNED20\%-0.4-logX & FALSE & \boxplot{19.70}{41.40}{61.10}{19.40}{80.50} \\
13 & kc3 & IDEACLUSTER-PRUNED30\%-0.4-logY & FALSE & \boxplot{0.00}{60.70}{60.70}{27.00}{87.70} \\
14 & kc3 & IDEACLUSTER-0.5-logY & FALSE & \boxplot{0.00}{60.70}{60.70}{20.70}{81.40} \\
14 & kc3 & IDEACLUSTER-0.5-logX & FALSE & \boxplot{0.00}{59.50}{59.50}{21.10}{80.60} \\
15 & kc3 & None & FALSE & \boxplot{52.60}{6.90}{59.50}{6.00}{65.50} \\
16 & kc3 & IDEACLUSTER-PRUNED10\%-0.5-logX & FALSE & \boxplot{0.00}{58.90}{58.90}{21.60}{80.50} \\
16 & kc3 & IDEACLUSTER-0.4-logX & FALSE & \boxplot{0.00}{58.80}{58.80}{21.70}{80.50} \\
17 & kc3 & IDEACLUSTER-0.4-logY & FALSE & \boxplot{19.80}{38.90}{58.70}{26.60}{85.30} \\
18 & kc3 & IDEACLUSTER-PRUNED20\%-0.5-logY & FALSE & \boxplot{19.10}{39.60}{58.70}{22.70}{81.40} \\
19 & kc3 & IDEACLUSTER-PRUNED20\%-0.5-logX & FALSE & \boxplot{0.00}{57.90}{57.90}{22.60}{80.50} \\
20 & kc3 & IDEACLUSTER-PRUNED30\%-0.5-logX & FALSE & \boxplot{0.00}{56.70}{56.70}{23.80}{80.50} \\
20 & kc3 & IDEACLUSTER-PRUNED30\%-0.5-logY & FALSE & \boxplot{0.00}{55.70}{55.70}{19.20}{74.90} \\
21 & kc3 & IDEACLUSTER-PRUNED20\%-0.2-logX & FALSE & \boxplot{0.00}{54.20}{54.20}{23.70}{77.90} \\
22 & kc3 & IDEACLUSTER-PRUNED30\%-0.4-logX & FALSE & \boxplot{0.00}{54.00}{54.00}{26.50}{80.50} \\
23 & kc3 & IDEACLUSTER-PRUNED30\%-0.2-logX & FALSE & \boxplot{0.00}{53.80}{53.80}{28.70}{82.50} \\
24 & kc3 & IDEACLUSTER-0.5 & FALSE & \boxplot{0.00}{52.40}{52.40}{26.20}{78.60} \\
25 & kc3 & IDEACLUSTER-PRUNED10\%-0.2-logX & FALSE & \boxplot{0.00}{49.20}{49.20}{28.70}{77.90} \\
26 & kc3 & IDEACLUSTER-PRUNED30\%-0.2-logXY & FALSE & \boxplot{0.00}{49.20}{49.20}{24.40}{73.60} \\
27 & kc3 & IDEACLUSTER-PRUNED20\%-0.2-logXY & FALSE & \boxplot{0.00}{48.70}{48.70}{30.50}{79.20} \\
28 & kc3 & IDEACLUSTER-0.4 & FALSE & \boxplot{0.00}{48.70}{48.70}{32.20}{80.90} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{MW1, TRUE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & mw1 & IDEACLUSTER-0.5-logXY & TRUE & \boxplot{46.80}{21.20}{68.00}{10.00}{78.00} \\
1 & mw1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & TRUE & \boxplot{46.80}{21.20}{68.00}{10.00}{78.00} \\
2 & mw1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & TRUE & \boxplot{46.80}{21.20}{68.00}{10.00}{78.00} \\
3 & mw1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & TRUE & \boxplot{46.80}{21.20}{68.00}{11.00}{79.00} \\
4 & mw1 & IDEACLUSTER-PRUNED30\%-0.5-logX & TRUE & \boxplot{23.70}{42.10}{65.80}{17.20}{83.00} \\
5 & mw1 & IDEACLUSTER-0.4-logXY & TRUE & \boxplot{26.00}{39.50}{65.50}{15.50}{81.00} \\
6 & mw1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & TRUE & \boxplot{25.80}{39.30}{65.10}{15.90}{81.00} \\
7 & mw1 & IDEACLUSTER-PRUNED20\%-0.4-logXY & TRUE & \boxplot{25.80}{37.80}{63.60}{17.40}{81.00} \\
7 & mw1 & IDEACLUSTER-PRUNED30\%-0.4-logXY & TRUE & \boxplot{25.80}{37.80}{63.60}{12.40}{76.00} \\
7 & mw1 & IDEACLUSTER-0.5-logX & TRUE & \boxplot{23.80}{39.50}{63.30}{19.70}{83.00} \\
7 & mw1 & IDEACLUSTER-PRUNED10\%-0.5-logX & TRUE & \boxplot{23.80}{39.50}{63.30}{19.70}{83.00} \\
8 & mw1 & IDEACLUSTER-PRUNED20\%-0.5-logX & TRUE & \boxplot{23.80}{39.30}{63.10}{19.90}{83.00} \\
9 & mw1 & IDEACLUSTER-PRUNED30\%-0.4-logX & TRUE & \boxplot{23.50}{38.00}{61.50}{21.50}{83.00} \\
10 & mw1 & log & TRUE & \boxplot{2.70}{58.20}{60.90}{21.00}{81.90} \\
11 & mw1 & IDEACLUSTER-0.4-logX & TRUE & \boxplot{23.70}{37.00}{60.70}{22.30}{83.00} \\
12 & mw1 & IDEACLUSTER-PRUNED10\%-0.4-logX & TRUE & \boxplot{23.60}{37.10}{60.70}{22.30}{83.00} \\
12 & mw1 & IDEACLUSTER-PRUNED20\%-0.4-logX & TRUE & \boxplot{23.60}{37.10}{60.70}{22.30}{83.00} \\
13 & mw1 & IDEACLUSTER-0.2-logXY & TRUE & \boxplot{0.00}{56.40}{56.40}{27.20}{83.60} \\
13 & mw1 & IDEACLUSTER-PRUNED10\%-0.2-logXY & TRUE & \boxplot{0.00}{56.40}{56.40}{20.40}{76.80} \\
14 & mw1 & IDEACLUSTER-PRUNED20\%-0.2-logXY & TRUE & \boxplot{0.00}{56.40}{56.40}{20.40}{76.80} \\
15 & mw1 & IDEACLUSTER-PRUNED30\%-0.2-logXY & TRUE & \boxplot{0.00}{53.40}{53.40}{23.40}{76.80} \\
15 & mw1 & IDEACLUSTER-0.4-logY & TRUE & \boxplot{0.00}{53.20}{53.20}{24.60}{77.80} \\
16 & mw1 & IDEACLUSTER-PRUNED10\%-0.4-logY & TRUE & \boxplot{0.00}{53.20}{53.20}{25.40}{78.60} \\
16 & mw1 & IDEACLUSTER-PRUNED20\%-0.4-logY & TRUE & \boxplot{0.00}{53.20}{53.20}{25.40}{78.60} \\
17 & mw1 & IDEACLUSTER-PRUNED30\%-0.4-logY & TRUE & \boxplot{0.00}{53.20}{53.20}{24.60}{77.80} \\
17 & mw1 & IDEACLUSTER-PRUNED20\%-0.5 & TRUE & \boxplot{24.40}{28.40}{52.80}{14.30}{67.10} \\
18 & mw1 & IDEACLUSTER-0.5 & TRUE & \boxplot{24.40}{27.80}{52.20}{14.90}{67.10} \\
19 & mw1 & IDEACLUSTER-PRUNED10\%-0.5 & TRUE & \boxplot{24.40}{27.80}{52.20}{14.90}{67.10} \\
20 & mw1 & None & TRUE & \boxplot{24.90}{26.70}{51.60}{16.70}{68.30} \\
21 & mw1 & IDEACLUSTER-0.5-logY & TRUE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
22 & mw1 & IDEACLUSTER-PRUNED10\%-0.5-logY & TRUE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
23 & mw1 & IDEACLUSTER-PRUNED20\%-0.5-logY & TRUE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
24 & mw1 & IDEACLUSTER-PRUNED30\%-0.5-logY & TRUE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{MW1, FALSE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & mw1 & IDEACLUSTER-0.5-logXY & FALSE & \boxplot{46.80}{21.20}{68.00}{10.00}{78.00} \\
2 & mw1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & FALSE & \boxplot{46.80}{21.20}{68.00}{10.00}{78.00} \\
3 & mw1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & FALSE & \boxplot{46.80}{21.20}{68.00}{10.00}{78.00} \\
4 & mw1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & FALSE & \boxplot{46.80}{21.20}{68.00}{11.00}{79.00} \\
4 & mw1 & IDEACLUSTER-PRUNED30\%-0.5-logX & FALSE & \boxplot{23.70}{42.10}{65.80}{17.20}{83.00} \\
4 & mw1 & IDEACLUSTER-0.4-logXY & FALSE & \boxplot{26.00}{39.50}{65.50}{15.50}{81.00} \\
5 & mw1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & FALSE & \boxplot{25.80}{39.30}{65.10}{15.90}{81.00} \\
5 & mw1 & IDEACLUSTER-PRUNED20\%-0.4-logXY & FALSE & \boxplot{25.80}{37.80}{63.60}{17.40}{81.00} \\
5 & mw1 & IDEACLUSTER-PRUNED30\%-0.4-logXY & FALSE & \boxplot{25.80}{37.80}{63.60}{12.40}{76.00} \\
6 & mw1 & IDEACLUSTER-0.5-logX & FALSE & \boxplot{23.80}{39.50}{63.30}{19.70}{83.00} \\
7 & mw1 & IDEACLUSTER-PRUNED10\%-0.5-logX & FALSE & \boxplot{23.80}{39.50}{63.30}{19.70}{83.00} \\
8 & mw1 & IDEACLUSTER-PRUNED20\%-0.5-logX & FALSE & \boxplot{23.80}{39.30}{63.10}{19.90}{83.00} \\
9 & mw1 & IDEACLUSTER-PRUNED30\%-0.4-logX & FALSE & \boxplot{23.50}{38.00}{61.50}{21.50}{83.00} \\
9 & mw1 & log & FALSE & \boxplot{2.70}{58.20}{60.90}{21.00}{81.90} \\
9 & mw1 & IDEACLUSTER-0.4-logX & FALSE & \boxplot{23.70}{37.00}{60.70}{22.30}{83.00} \\
10 & mw1 & IDEACLUSTER-PRUNED10\%-0.4-logX & FALSE & \boxplot{23.60}{37.10}{60.70}{22.30}{83.00} \\
11 & mw1 & IDEACLUSTER-PRUNED20\%-0.4-logX & FALSE & \boxplot{23.60}{37.10}{60.70}{22.30}{83.00} \\
11 & mw1 & IDEACLUSTER-0.2-logXY & FALSE & \boxplot{0.00}{56.40}{56.40}{27.20}{83.60} \\
11 & mw1 & IDEACLUSTER-PRUNED10\%-0.2-logXY & FALSE & \boxplot{0.00}{56.40}{56.40}{20.40}{76.80} \\
12 & mw1 & IDEACLUSTER-PRUNED20\%-0.2-logXY & FALSE & \boxplot{0.00}{56.40}{56.40}{20.40}{76.80} \\
12 & mw1 & IDEACLUSTER-PRUNED30\%-0.2-logXY & FALSE & \boxplot{0.00}{53.40}{53.40}{23.40}{76.80} \\
13 & mw1 & IDEACLUSTER-0.4-logY & FALSE & \boxplot{0.00}{53.20}{53.20}{24.60}{77.80} \\
14 & mw1 & IDEACLUSTER-PRUNED10\%-0.4-logY & FALSE & \boxplot{0.00}{53.20}{53.20}{25.40}{78.60} \\
15 & mw1 & IDEACLUSTER-PRUNED20\%-0.4-logY & FALSE & \boxplot{0.00}{53.20}{53.20}{25.40}{78.60} \\
16 & mw1 & IDEACLUSTER-PRUNED30\%-0.4-logY & FALSE & \boxplot{0.00}{53.20}{53.20}{24.60}{77.80} \\
17 & mw1 & IDEACLUSTER-PRUNED20\%-0.5 & FALSE & \boxplot{24.40}{28.40}{52.80}{14.30}{67.10} \\
18 & mw1 & IDEACLUSTER-0.5 & FALSE & \boxplot{24.40}{27.80}{52.20}{14.90}{67.10} \\
19 & mw1 & IDEACLUSTER-PRUNED10\%-0.5 & FALSE & \boxplot{24.40}{27.80}{52.20}{14.90}{67.10} \\
20 & mw1 & None & FALSE & \boxplot{24.90}{26.70}{51.60}{16.70}{68.30} \\
20 & mw1 & IDEACLUSTER-0.5-logY & FALSE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
21 & mw1 & IDEACLUSTER-PRUNED10\%-0.5-logY & FALSE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
22 & mw1 & IDEACLUSTER-PRUNED20\%-0.5-logY & FALSE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
23 & mw1 & IDEACLUSTER-PRUNED30\%-0.5-logY & FALSE & \boxplot{25.20}{25.80}{51.00}{29.10}{80.10} \\
\hline
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{PC1, TRUE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline
1 & pc1 & IDEACLUSTER-0.5-logXY & TRUE & \boxplot{39.10}{20.90}{60.00}{13.40}{73.40} \\
2 & pc1 & IDEACLUSTER-PRUNED10\%-0.5-logXY & TRUE & \boxplot{45.00}{15.00}{60.00}{13.40}{73.40} \\
3 & pc1 & IDEACLUSTER-PRUNED20\%-0.5-logXY & TRUE & \boxplot{45.00}{15.00}{60.00}{13.40}{73.40} \\
4 & pc1 & IDEACLUSTER-0.4-logX & TRUE & \boxplot{23.00}{35.70}{58.70}{14.90}{73.60} \\
5 & pc1 & IDEACLUSTER-PRUNED10\%-0.4-logX & TRUE & \boxplot{23.20}{35.50}{58.70}{15.40}{74.10} \\
5 & pc1 & IDEACLUSTER-PRUNED20\%-0.4-logX & TRUE & \boxplot{23.20}{35.50}{58.70}{15.40}{74.10} \\
5 & pc1 & IDEACLUSTER-PRUNED30\%-0.4-logX & TRUE & \boxplot{30.70}{28.00}{58.70}{14.90}{73.60} \\
5 & pc1 & IDEACLUSTER-PRUNED30\%-0.5-logXY & TRUE & \boxplot{45.00}{12.80}{57.80}{15.30}{73.10} \\
6 & pc1 & IDEACLUSTER-0.4-logXY & TRUE & \boxplot{30.70}{26.90}{57.60}{16.80}{74.40} \\
7 & pc1 & IDEACLUSTER-PRUNED10\%-0.4-logXY & TRUE & \boxplot{44.80}{11.80}{56.60}{17.80}{74.40} \\
\end{tabular}
\end{figure}

\begin{figure}
\begin{tabular}{c c l r  @{} c }
\multicolumn{3}{c}{PC1, FALSE} \\\hline
Rank & Dataset & Treatment & Class & 50\%  \\
\hline

\hline
\end{tabular}
\end{figure}

\end{document}  
