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diff --git a/aied2017/evaluation.tex b/aied2017/evaluation.tex index 50e9eb4..bd2f168 100644 --- a/aied2017/evaluation.tex +++ b/aied2017/evaluation.tex @@ -34,9 +34,7 @@ The last row averages results over all 44 domains.} \end{table} Table~\ref{table:eval} contains results on five selected problems (each problem represents a -different group of problems) and averaged results over all problems.\footnote{We report only a subset of results due to space -restrictions. The table with results for all 44 problems can be found at -\url{www.ailab.si/aied2017}. } The second, third, and fourth columns provide classification accuracies (CA) of rule-based classifier, +different group of problems) and averaged results over all problems.\footnote{We report only a subset of results due to space restrictions. Full results and source code can be found at \url{https://ailab.si/ast-patterns/}. } The second, third, and fourth columns provide classification accuracies (CA) of rule-based classifier, majority classifier, and random forest on testing data. The majority classifier and the random forests method, which was the best performing machine learning algorithm over all problems, serve as lower and upper bound for CA. For example, in the case of ``sister'' problem, @@ -78,4 +76,7 @@ Our hypothesis is that these patterns represent the parts of the problem solutio difficulties with. - +%%% Local Variables: +%%% mode: latex +%%% TeX-master: "aied2017" +%%% End:
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