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| author | Timotej Lazar <timotej.lazar@fri.uni-lj.si> | 2018-02-06 14:50:29 +0100 |
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| committer | Timotej Lazar <timotej.lazar@fri.uni-lj.si> | 2018-02-06 14:50:29 +0100 |
| commit | 9d0c7d6ce21334f107443c4864c1cf8836bf5a6f (patch) | |
| tree | 8437ecc49c8b60a32a6971d2b32ebb57a1d25232 | |
| parent | 1d7422f5b919d5a9d1c2cc69ab00ee50bc9a9c25 (diff) | |
Optimize table
| -rw-r--r-- | aied2018/evaluation.tex | 5 |
1 files 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 \\ |