From 9d0c7d6ce21334f107443c4864c1cf8836bf5a6f Mon Sep 17 00:00:00 2001 From: Timotej Lazar Date: Tue, 6 Feb 2018 14:50:29 +0100 Subject: Optimize table --- aied2018/evaluation.tex | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/aied2018/evaluation.tex b/aied2018/evaluation.tex index d74a4f5..205a521 100644 --- a/aied2018/evaluation.tex +++ b/aied2018/evaluation.tex @@ -1,7 +1,6 @@ - \section{Evaluation, discussion, and further work} -\setlength{\tabcolsep}{6pt} +\setlength{\tabcolsep}{4.5pt} \def\arraystretch{1.1} \begin{table}[t] \caption{Solving statistics, classification accuracy, and coverage of rules for several introductory Python problems. The second column shows the number of users attempting the problem. Columns 3 and 4 show the number of all / correct submissions. The next two columns show the classification accuracy for the majority and random-forest classifiers. The last three rows show percentages of covered examples: columns $n_p$ and $n$ contain covered incorrect programs (n-rules with presence of patterns and all n-rules), column $p$ contains the percentage of covered correct programs by p-rules.} @@ -10,7 +9,7 @@ & & \multicolumn{2}{c|}{\textbf{Submissions}} & \multicolumn{2}{c|}{\textbf{CA}} & \multicolumn{3}{c}{\textbf{Coverage}} \\ \textbf{Problem} & \textbf{Users} & Total & Correct & Maj & RF & $n_p$ & $n$ & $p$ \\ \hline - \textsf{fahrenheit\_to\_cel}& 521 & 1177 & 495 & 0.579 & 0.933 & 0.708 & 0.935 & 0.867 \\ + \textsf{fahrenheit\_to\_celsius}& 521 & 1177 & 495 & 0.579 & 0.933 & 0.708 & 0.935 & 0.867 \\ %\textsf{pythagorean\_theorem}& 349 & 669 & 317 & 0.499 & 0.809 \\ \textsf{ballistics}& 248 & 873 & 209 & 0.761 & 0.802 & 0.551 & 0.666 & 0.478 \\ \textsf{average}& 209 & 482 & 186 & 0.614 & 0.830 & 0.230 & 0.338 & 0.618 \\ -- cgit v1.2.1