Corrected ordering of tables.

Some values had commas instead of dots as decimal separators, resulting in wrong results when sorting.

Corrected ordering of tables.
Some values had commas instead of dots as decimal separators, resulting in wrong results when sorting.
f6409f99 · bbguimaraes · 766f279d · f6409f99
Commit f6409f99 authored Nov 15, 2013 by bbguimaraes
--- a/mono/chapters/dev.tex
+++ b/mono/chapters/dev.tex
@@ -824,16 +824,16 @@ As tabelas \ref{tbl:dev_table_aust_correct} e \ref{tbl:dev_table_ger_correct} mo
        \textbf{Algoritmo} & \textbf{Porcentagem correta} & \textbf{Erro quadrático médio} \\
        \hline
        \rowcolor[gray]{.9}
-        J48                  & 95,65\% & 0.2364105060 \\ \hline
+        J48                  & 95.65\% & 0.2364105060 \\ \hline
        \rowcolor[gray]{.9}
-        MultilayerPerceptron & 94,20\% & 0.2497022089 \\ \hline
+        MultilayerPerceptron & 94.20\% & 0.2497022089 \\ \hline
        \rowcolor[gray]{.9}
-        BayesNet             & 94,20\% & 0.2264276254 \\ \hline
-        SMO                  & 92,75\% & 0.2691909510 \\ \hline
-        AIRS                 & 92,75\% & 0.2691909510 \\ \hline
-        NaiveBayes           & 88,41\% & 0.3021207800 \\ \hline
-        ID3                  & 86,96\% & 0.3096584495 \\ \hline
+        BayesNet             & 94.20\% & 0.2264276254 \\ \hline
+        SMO                  & 92.75\% & 0.2691909510 \\ \hline
+        AIRS                 & 92.75\% & 0.2691909510 \\ \hline
        Immunos              & 91.30\% & 0.2948839123 \\ \hline
+        NaiveBayes           & 88.41\% & 0.3021207800 \\ \hline
+        ID3                  & 86.96\% & 0.3096584495 \\ \hline
        Lvq2\_1              & 79.71\% & 0.4504426165 \\ \hline
        CLONALG              & 76.81\% & 0.4815434123 \\ \hline
    \end{tabular}
@@ -851,18 +851,18 @@ As tabelas \ref{tbl:dev_table_aust_correct} e \ref{tbl:dev_table_ger_correct} mo
        \textbf{Algoritmo} & \textbf{Porcentagem correta} & \textbf{Erro quadrático médio} \\
        \hline
        \rowcolor[gray]{.9}
-        NaiveBayes           & 84,00\% & 0.3655059498 \\ \hline
+        NaiveBayes           & 84.00\% & 0.3655059498 \\ \hline
        \rowcolor[gray]{.9}
-        BayesNet             & 84,00\% & 0.3553319820 \\ \hline
+        BayesNet             & 84.00\% & 0.3553319820 \\ \hline
        \rowcolor[gray]{.9}
-        SMO                  & 83,00\% & 0.4123105626 \\ \hline
-        MultilayerPerceptron & 81,00\% & 0.4251917863 \\ \hline
-        J48                  & 80,00\% & 0.3856184540 \\ \hline
-        Lvq2\_1              & 76,00\% & 0.4898979486 \\ \hline
-        Immunos              & 75,00\% & 0.5000000000 \\ \hline
-        CLONALG              & 75,00\% & 0.5000000000 \\ \hline
-        AIRS                 & 74,00\% & 0.5099019514 \\ \hline
-        ID3                  & 71,00\% & 0.5248906592 \\ \hline
+        SMO                  & 83.00\% & 0.4123105626 \\ \hline
+        MultilayerPerceptron & 81.00\% & 0.4251917863 \\ \hline
+        J48                  & 80.00\% & 0.3856184540 \\ \hline
+        Lvq2\_1              & 76.00\% & 0.4898979486 \\ \hline
+        Immunos              & 75.00\% & 0.5000000000 \\ \hline
+        CLONALG              & 75.00\% & 0.5000000000 \\ \hline
+        AIRS                 & 74.00\% & 0.5099019514 \\ \hline
+        ID3                  & 71.00\% & 0.5248906592 \\ \hline
    \end{tabular}
 \end{table}
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