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plot_prop.py
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plot_prop.py
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import matplotlib.pyplot as plt
# matplotlib inline
f = plt.figure()
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.497666,0.707849,0.784678,0.806268], # Y
yerr=[0.004616994,0.002982208,0.001491299,0.002531259], # Y-errors
label="Text GCN",
fmt="r<--", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.149283108,0.334997347,0.485854698,0.752257032], # Y
yerr=[0.016322364,0.029301421,0.046951708,0.008422076], # Y-errors
label="CNN-non-static",
fmt="bo-", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.0955,0.30832,0.383746978,0.54306], # Y
yerr=[0.049771506,0.005544527,0.040551828,0.010268544], # Y-errors
label="LSTM (pretrain)",
fmt="g.--", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.302443002,0.569215862,0.669078598,0.732873], # Y
yerr=[0.012816293,0.005403935,0.011636367,0.006793104], # Y-errors
label="Graph-CNN-C",
fmt="yx-.", # format line like for plot()
linewidth=2# width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.114046734,0.451540096,0.660382369,0.746813595], # Y
yerr=[0,0,0,0], # Y-errors
label="TF-IDF + LR",
fmt="c>-.", # format line like for plot()
linewidth=2 # width of plot line
)
plt.legend() #Show legend
plt.show()
f.savefig("results/proportion_20ng.pdf", bbox_inches='tight')
f = plt.figure()
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.883005,0.942432,0.943446,0.960034], # Y
yerr=[0.00273641,0.00244692,0.001937984,0.001314206], # Y-errors
label="Text GCN",
fmt="r<--", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.797259028,0.886614875,0.882960261,0.918730005], # Y
yerr=[0.016831613,0.021104224,0.014498768,0.011398275], # Y-errors
label="CNN-non-static",
fmt="bo-", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.192933333,0.89098,0.89780746,0.9309619], # Y
yerr=[0.012816293,0.005403935,0.011636367,0.006793104], # Y-errors
label="LSTM (pretrain)",
fmt="g.--", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.820557356,0.920922796,0.924257652,0.95185016], # Y
yerr=[0.008723152,0.003612839,0.003155102,0.001634403], # Y-errors
label="Graph-CNN-C",
fmt="yx-.", # format line like for plot()
linewidth=2 # width of plot line
)
plt.errorbar(
[0.01,0.05,0.1,0.2], # X
[0.526724532,0.807217908,0.814527181,0.871630882], # Y
yerr=[0,0,0,0], # Y-errors
label="TF-IDF + LR",
fmt="c>-.", # format line like for plot()
linewidth=2 # width of plot line
)
plt.legend() #Show legend
plt.show()
f.savefig("results/proportion_R8.pdf", bbox_inches='tight')