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Copy pathgraphs.tex
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394 lines (350 loc) · 8.68 KB
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\documentclass{article}
\usepackage{tikz}
\usepackage{pgfplots}
\usepackage{textcomp}
\usepackage{array}
\usepackage{tabu}
\usepackage{numprint}
\begin{document}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.0 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=0.77, ymax=0.95,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={0.77, 0.79,0.81,0.83,0.85,0.87,0.89,0.91,0.93,0.95},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.1 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=5.45, ymax=5.521191432572333,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={5.450,5.460,5.470,4.480,4.490,4.500,5.510,5.520,5.530},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.2 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=13.80, ymax=14.003741996517524,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={13.82,13.84,13.86,13.88,13.90,13.92,13.94,13.96,13.98,14.0},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.3 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=23.90, ymax=23.94850078680391,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={23.90,23.910,23.920,23.930,23.940,23.950},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.4 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=32.94, ymax=32.97369393210016,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={32.94, 32.945, 32.950, 32.955,32.960,32.965,32.970,32.975},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
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color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.5 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=39, ymax=40,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={39, 39.25,39.5,39.75,40},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.6 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=43, ymax=44,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={43,43.25,43.5,43.75,44},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.7 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=45, ymax=46,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={45,45.25,45.5,45.75,46},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.8 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=46, ymax=47,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={46,46.25,46.5,46.75,47},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 0.9 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=46, ymax=47,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={46,46.25,46.5,46.75,47},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
title={Sample size of training data plotted against accuracy at 1.0 noise ratio},
xlabel={Number of Samples},
ylabel={Mean Square Error between all original and denoised samples},
xmin=0, xmax=3000,
ymin=46, ymax=47,
xtick={0,500,1000,1500,2000,2500,3000},
ytick={46,46.25,46.5,46.75,47},
legend pos=north west,
ymajorgrids=true,
grid style=dashed,
]
\addplot[
color=blue,
mark=square,
]
coordinates {
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};
\end{axis}
\end{tikzpicture}
\end{document}