autokeras&\multicolumn{2}{c}{ 50.00\% ($\pm$0.00)}&\multicolumn{2}{c}{ 50.00\% ($\pm$0.00) }\\
bambi&\multicolumn{2}{c}{ 60.84\% ($\pm$4.48)}&\multicolumn{2}{c}{ 63.79\% ($\pm$7.35) }\\
cleverhans&\multicolumn{2}{c}{ 62.16\% ($\pm$0.00)}&\multicolumn{2}{c}{ 64.32\% ($\pm$0.54) }\\
fairseq&\multicolumn{2}{c}{ 18.51\% ($\pm$0.02)}&\multicolumn{2}{c}{ 18.52\% ($\pm$0.01) }\\
gensim&\multicolumn{2}{c}{ 29.21\% ($\pm$0.25)}&\multicolumn{2}{c}{ 27.81\% ($\pm$0.10) }\\
gpytorch&\multicolumn{2}{c}{ 61.32\% ($\pm$0.31)}&\multicolumn{2}{c}{ 63.48\% ($\pm$0.81) }\\
imbalanced-learn&\multicolumn{2}{c}{ 34.57\% ($\pm$0.00)}&\multicolumn{2}{c}{ 35.23\% ($\pm$0.00) }\\
ml-agents&\multicolumn{2}{c}{ 61.15\% ($\pm$0.09)}&\multicolumn{2}{c}{ 62.43\% ($\pm$0.00) }\\
numpyro&\multicolumn{2}{c}{ 60.60\% ($\pm$0.00)}&\multicolumn{2}{c}{ 60.02\% ($\pm$0.21) }\\
parlai&\multicolumn{2}{c}{ 59.49\% ($\pm$0.48)}&\multicolumn{2}{c}{ 58.81\% ($\pm$0.00) }\\
pyGPGO&\multicolumn{2}{c}{ 58.25\% ($\pm$4.14)}&\multicolumn{2}{c}{ 60.31\% ($\pm$0.00) }\\
pymc-learn&\multicolumn{2}{c}{ 69.34\% ($\pm$2.71)}&\multicolumn{2}{c}{ 74.62\% ($\pm$1.87) }\\
pymc3&\multicolumn{2}{c}{ 48.40\% ($\pm$0.00)}&\multicolumn{2}{c}{ 58.00\% ($\pm$0.00) }\\
pyro&\multicolumn{2}{c}{ 47.40\% ($\pm$0.00)}&\multicolumn{2}{c}{ 48.31\% ($\pm$0.00) }\\
sbi&\multicolumn{2}{c}{ 67.89\% ($\pm$0.00)}&\multicolumn{2}{c}{ 69.11\% ($\pm$0.00) }\\
\hline Average &52.61\%&&54.32\%&\\\hline
