From: Hentai AI Date: Tue, 31 May 2022 09:22:59 +0000 (+0200) Subject: X1 fixed table X-Git-Url: https://git.hentai-ai.org/?a=commitdiff_plain;h=04e89a833ca228f0ee5079899b24608882dc68fe;p=papers%2FwAiFu.git%2F.git X1 fixed table --- diff --git a/wAiFu.aux b/wAiFu.aux index e89afae..a135bb5 100644 --- a/wAiFu.aux +++ b/wAiFu.aux @@ -73,8 +73,6 @@ \newlabel{fig:wbt}{{7}{4}{Training image with batch transforms}{figure.7}{}} \@writefile{lof}{\contentsline {figure}{\numberline {8}{\ignorespaces Comparing with and without batch transforms on error\_rate, train\_loss and valid\_loss}}{4}{figure.8}\protected@file@percent } \newlabel{fig:btgraph}{{8}{4}{Comparing with and without batch transforms on error\_rate, train\_loss and valid\_loss}{figure.8}{}} -\@writefile{lot}{\contentsline {table}{\numberline {I}{\ignorespaces User stats}}{4}{table.1}\protected@file@percent } -\newlabel{tab:user-table}{{I}{4}{User stats}{table.1}{}} \bibdata{ref} \bibcite{tkinter}{1} \bibcite{zoom-advanced}{2} @@ -83,6 +81,8 @@ \bibcite{machinelearning}{5} \bibcite{thighdeology}{6} \bibstyle{plain} +\@writefile{lot}{\contentsline {table}{\numberline {I}{\ignorespaces User stats}}{5}{table.1}\protected@file@percent } +\newlabel{tab:user-table}{{I}{5}{User stats}{table.1}{}} \@writefile{toc}{\contentsline {section}{\numberline {VII}Discussion}{5}{section.7}\protected@file@percent } \newlabel{sec:discussion}{{VII}{5}{Discussion}{section.7}{}} \@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {VII-A}}Limitations}{5}{subsection.7.1}\protected@file@percent } diff --git a/wAiFu.log b/wAiFu.log index 935a115..deba8a3 100644 --- a/wAiFu.log +++ b/wAiFu.log @@ -1,4 +1,4 @@ -This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2021.10.22) 27 MAY 2022 19:06 +This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2021.10.22) 31 MAY 2022 11:22 entering extended mode restricted \write18 enabled. %&-line parsing enabled. @@ -466,17 +466,9 @@ LaTeX Font Info: Trying to load font information for U+msb on input line 25. 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PDF statistics: - 221 PDF objects out of 1000 (max. 8388607) - 185 compressed objects within 2 object streams + 262 PDF objects out of 1000 (max. 8388607) + 225 compressed objects within 3 object streams 59 named destinations out of 1000 (max. 500000) - 156 words of extra memory for PDF output out of 10000 (max. 10000000) + 228 words of extra memory for PDF output out of 10000 (max. 10000000) diff --git a/wAiFu.pdf b/wAiFu.pdf index dddfae3..248f34e 100644 Binary files a/wAiFu.pdf and b/wAiFu.pdf differ diff --git a/wAiFu.tex b/wAiFu.tex index 679da51..accd203 100644 --- a/wAiFu.tex +++ b/wAiFu.tex @@ -205,17 +205,17 @@ One of the main observations when training on such a small dataset was the tende \subsection{Error Rate of Thighs} The dataset containing 1000 images was labled using Hentai Tinder (Section~\ref{sec:impl_labelapp}) by three individual persons: User A, User B and User C. A table of the result for each user can be seen in Table~\ref{tab:user-table}. The three different users had varying rates of approval on the dataset with user C liking almost half of the dataset. The lowest error\_rate observed came from the dataset labled by user B. With the error\_rate being close to the rate of approval, a sanity check with a confusion matrix showed that the model did not just predict false on the whole dataset. -\begin{table} +\begin{table*} \centering -\begin{tabular}{l|cccccc} +\begin{tabular}{l|ccccccc} User & Approved & valid err & TP & FP & TN & FN & test err\\ \hline - A & 33.00\% & 26.87\% & 31 & 19 & 116 & 34 \\ - B & 13.22\% & 22\% & 1 & 6 & 76 & 16 \\ - C & 49.30\% & 28.36\% & 72 & 22 & 72 & 34 + A & 33.00\% & 26.87\% & 31 & 19 & 116 & 34 & \\ + B & 13.22\% & 22.00\% & 1 & 6 & 76 & 16 & \\ + C & 49.30\% & 28.36\% & 72 & 22 & 72 & 34 & \end{tabular} \caption{User stats} \label{tab:user-table} -\end{table} +\end{table*} \section{Discussion} \label{sec:discussion}