|
Prediction: \begin{tabular}{cccccc} \toprule Network&\#Users&\#Edges&\#Posts&\#Anchors&\#ShareedEdges\\ Doublen&9734&260467&10941957&2\!\midrule \multirow{1-4}{Weibo}&9514&196978&379357&\\ \bottomrule \end{tabular}{end{tabular}{c]{c]{Theta}\\ \bottomrule \end{tabular}{@{\bfDouban}&9734&260467&10941957&2\!\midrule \multirow{1-4}{Weibo}&9514&196978&379357&\\ \bottomrule \end{tabular}{Translation}{\bfOtherisaすることは \end{tabular}{end{tabular}{\bfOtherisa前景}}\\ \bottomrule \end{tabular}{Network}{\bfOtherisaすることは \end{tabular}{Network}{\bfDouban}&9734&260467&10941957&2\!\midrule \multirow{1-4}{Weibo}&9514&196978&379357&\\ \bottomrule \end{tabular}{end{tabular}{\bfOtherisa \end{tabular}{\bfOtherisa \end{tabular}{end{tabular}{\bfOtherisa \end{tabular}{end{tabular}{\bfOtherisa \end{tabular}{$\intremoving}{$\theta}end{tabular}{$\bfOtherisa \end{tabular}{$\intRuleft(r}{\bfOtheration}}}\\ \bottomrule \end{tabular}{Duban}&9734&260467&10941957&2\!\ \bottomrule \end{tabular}{Dubeye}{\bfOtheration}&97.3&97.33\\ \bottomrule \end{tabular}{8}{\bfOtheration}&97.\\ \end{tabular}{8}{\bfOtheration}&97.\\ \end{tabular}{8}{\bfOtheringour}&97.\\ \end{tabular}{8}{\bfOtheration}&97.8&97.35\ |
|
Answer: \begin{tabular}{cccccc}\topruleNetwork&\#Users&\#Edges&\#Posts&\#Anchors&\#SharedEdges\\\midruleDouban&9734&260467&10941957&\multirow{2}{*}{9514}&\multirow{2}{*}{55207}\\\cmidrule{1-4}Weibo&9514&196978&3799357&&\\\bottomrule\end{tabular} |
|
Normed ED: 0.8122555410691004 |
|
Prediction: \begin{tabular}{|p{8cm}|} \hline \bfseries&\bfseriesPA\\ \hline HybridGreedyAlgorithm&GA\\ \hline SimplexVRPAIgorithm&IH\\ \hline \end{tabular}{neguingteasurefootnotesize} \bfseries2years&Hys\\ \hline \end{tabular}{neguinglearningfootnotesize} \hline SimplexVRPalgorithm&SVA\\ \hline \end{tabular}{neguingthatevery} \hline \end{tabular}{neguingthatevery} \hline \end{tabular}{neguingthatevery} \hline \end{tabular}{neguingthatsimultaneous} \hline \end{tabular}{neguingmeans} \hline \end{tabular}{neguingthatevery} \hline \end{tabular}{SimplexVRPalgorithm} \end{tabular}{neguingthatevery} \hline \end{tabular}{SimplexVRPalgorithm} \hline \end{tabular}{SimplexVRPalgorithm} \hline \end{tabular}{SimplexVRPalgorithm} \hline \end{tabular}{SimplexVRPalgorithm} \end{tabular}{Simplesarey} \end{tabular}{SimplesareyAgainsthetically} \hline \end{tabular}{Simplesare\end{tabular}{Simplesare\end{tabular} \hline \end{tabular}{Simplesave} \end{tabular}{Simplesave} \hline \end{tabular}{end{tabular}{equire} \end{tabular}{c]{resoursareNonext} \end{tabular}{c]{equire} \end{tabular}{equire} \end{tabular}{Simplesavency} \end{tabular}{c]{Simplesave} \end{tabular}{repuingthat} \hline \end{tabular}{e]{Simplexvertical} \hline |
|
Answer: \begin{tabular}{|l|l|}\hline{\bfAlgorithmName}&{\bfAbbrevation}\\\hlineBruteForceAlgorithm&BFA\\\hlineGreedyAlgorithm&GA\\\hlineIntlinprogHeuristic&IH\\\hlineHybridGreedyAlgorithm&HGA\\\hlineSimplexVRPAlgorithm&SVA\\\hline\end{tabular} |
|
Normed ED: 0.8594091903719913 |
|
Prediction: \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|} \hline Cases&Time&Fuel&Time&Fuel&Time&Time&Fuel&Time&Fuel&Time&Fuel\\\hline \hline 3\_{\-1}} &3,53&14,12&0.00&-&0.00&16,55&1,00&16,55&0.00&16,55\\\hline 3\_{3} &3,36&17,18&0.00&17,18&0.00&17,18&1,00&17,18&0.00&17,18\\\hline 3\_{3}&3,31&15,84&0.00&22,78&0.00&22,78&1,00&15,84&0.00&15,84\\\hline 3\_{3}&3,46&13,28&0.00&-&0.00&27,06&1/01&13,28&0.00&13,28\\\hline 3\_{5}&3,44&16,11&0.00&-&0.00&16,11&1,00&16,11&0.00&16,11\\\hline \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \hline \end{tabular} \end{tabular} \end{tabular} |
|
Answer: \begin{tabular}{|l|l|l|l|l|l|l|l|l|l|l|}\hline{\bf}&\multicolumn{2}{l|}{{\bfBFA}}&\multicolumn{2}{l|}{{\bfGA}}&\multicolumn{2}{l|}{{\bfIH}}&\multicolumn{2}{l|}{{\bfHGA}}&\multicolumn{2}{l|}{{\bfSVA}}\\\hlineCases&Time&Fuel&Time&Fuel&Time&Fuel&Time&Fuel&Time&Fuel\\\hline3\_1&3,53&14,12&0,00&\multicolumn{1}{c|}{-}&0,00&16,55&1,00&16,55&0,00&16,55\\\hline3\_2&3,36&17,18&0,00&17,18&0,00&17,18&1,00&17,18&0,00&17,18\\\hline3\_3&3,31&15,84&0,00&22,78&0,00&22,78&1,00&15,84&0,00&15,84\\\hline3\_4&3,46&13,28&0,00&\multicolumn{1}{c|}{-}&0,00&27,06&1,01&13,28&0,00&13,28\\\hline3\_5&3,44&16,11&0,00&\multicolumn{1}{c|}{-}&0,00&16,11&1,00&16,11&0,00&16,11\\\hline\end{tabular} |
|
Normed ED: 0.8322818086225027 |
|
Prediction: \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|} \hline Cases&Time&Fuel&Time&Fuel&Time&Fuel&Time&Fuel&Time&Fuel\\\hline 5\_{\-1}&288,55&16,07&0.00&30,06&0.00&24,63&5,38&-&0.00&24,63\\\hline 5\_{2}&285,36&20,18&0.00&20,18&0.00&20,18&0.00&20,18\\\hline 5\_{3}&295,50&18,84&0.00&25,78&0.00&25,78&5,45&18,84&0.00&25,78\\\hline 5\_{5-4}&290,00&18,88&0.00&30,06&0.00&31,87&5,40&20,52&0.00&31,87\\\hline 5\_{5-5}&287,46&18,84&0.00&30,02&0.00&18,84&5,39&18,84&0.00&18,84\\\hline \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} |
|
Answer: \begin{tabular}{|l|l|l|l|l|l|l|l|l|l|l|}\hline{\bf}&\multicolumn{2}{l|}{{\bfBFA}}&\multicolumn{2}{l|}{{\bfGA}}&\multicolumn{2}{l|}{{\bfIH}}&\multicolumn{2}{l|}{{\bfHGA}}&\multicolumn{2}{l|}{{\bfSVA}}\\\hlineCases&Time&Fuel&Time&Fuel&Time&Fuel&Time&Fuel&Time&Fuel\\\hline5\_1&288,55&16,07&0,00&30,06&0,00&24,63&5,38&\multicolumn{1}{c|}{-}&0,00&24,63\\\hline5\_2&285,36&20,18&0,00&20,18&0,00&20,18&5,36&20,18&0,00&20,18\\\hline5\_3&295,50&18,84&0,00&25,78&0,00&25,78&5,45&18,84&0,00&25,78\\\hline5\_4&290,00&18,88&0,00&30,06&0,00&31,87&5,40&20,52&0,00&31,87\\\hline5\_5&287,46&18,84&0,00&30,02&0,00&18,84&5,39&18,84&0,00&18,84\\\hline\end{tabular} |
|
Normed ED: 0.8339622641509434 |
|
Prediction: \begin{tabular}{l|c|cccc} \hline Model&TrainRMSE&ValRMSE&TestRMSE&ClarityLoss\\ \hline $XGBoost&0.135$\pm$0.103&\bfseries163$\pm$0.046&\bfseries163$\pm$0.013&-\\ RF&1.500$\pm$0.019&\bfseries184$\pm$0.050&\bfseries182$\pm$0.043&-\\ MLP&2.320$\pm$0.076&2.37$\pm$0.119&\bfseries2$\pm$0.057&-\\ GLM&3.062$\pm$0.039&3.13/$\pm$0.094&3.103$\pm$0.065&-\\ pvGAM&2.253$\pm$0.025&2.459$\pm$0.057&2.4050$\pm$0.046&-\\ EBM&1.155$\pm$0.157&1.211$\pm$0.165&\bfseries1,799$\bfseries0.132&0.0007$\pm$0.0001\\ \hline $G$&\\ M&\\\ I&\\ N&\\ \hline $6$^*$T$&$\lambda=10$^{0}$&$0.999$\pm$0.012$&$.053$\pm$0.023$&$.044$\pm$0.019$&$0.0003$\pm$0.0001$\\ &$\lambda=10$^{-1}$&$0.970$\pm$0.011$&$\bf{061}}$\pm$0.029$&$\bf{058}}$\pm$0.027$&$0.0003$\pm$0.0001$\\ &$\lambda=10$^{-2}$&$0.966$\pm$0.013$&$\bf{059}}$\bf{021}}$&$\bf{021}}$&$\bf{021}}$\\ &$\lambda=10$^{-3}$&$0.959$\pm$0.016$&$\bf{069}}$\bf{0.020}}$&$\bf{0.058}}$\bf{0.018}}$\bf{0.0024\pm$0.0013$\\ &$\lambda=10^{-4}$&$0.967$\pm$0.019$&$.079$\pm$0.025$&$\bf{021}}$\bf{0.031}}$\bf{0.037$\pm$0.0025$\\ \hline \end{tabular} \hline |
|
Answer: \begin{tabular}{c|c|cccc}\hline\multicolumn{2}{c|}{Model}&TrainRMSE&ValRMSE&TestRMSE&ClarityLoss\\\hline\multicolumn{2}{c|}{XGBoost}&0.135$\pm$0.103&1.630$\pm$0.046&1.634$\pm$0.013&-\\\multicolumn{2}{c|}{RF}&1.500$\pm$0.019&1.840$\pm$0.060&1.822$\pm$0.043&-\\\multicolumn{2}{c|}{MLP}&2.320$\pm$0.076&2.372$\pm$0.119&2.615$\pm$0.057&-\\\multicolumn{2}{c|}{GLM}&3.062$\pm$0.039&3.123$\pm$0.094&3.103$\pm$0.065&-\\\multicolumn{2}{c|}{pyGAM}&2.253$\pm$0.025&2.459$\pm$0.057&2.450$\pm$0.046&-\\\multicolumn{2}{c|}{EBM}&1.155$\pm$0.157&1.211$\pm$0.165&1.799$\pm$0.132&0.0007$\pm$0.0001\\\hline\multirow{6}{*}{\shortstack{G\\A\\M\\I\\N\\E\\T}}&$\lambda=10^{0}$&0.999$\pm$0.012&1.053$\pm$0.023&1.044$\pm$0.019&0.0003$\pm$0.0001\\&$\lambda=10^{-1}$&0.970$\pm$0.011&1.061$\pm$0.029&1.058$\pm$0.027&0.0002$\pm$0.0001\\&$\lambda=10^{-2}$&0.966$\pm$0.013&1.059$\pm$0.021&1.056$\pm$0.024&0.0006$\pm$0.0004\\&$\lambda=10^{-3}$&0.959$\pm$0.016&1.069$\pm$0.020&1.058$\pm$0.018&0.0024$\pm$0.0013\\&$\lambda=10^{-4}$&0.967$\pm$0.019&1.079$\pm$0.025&1.072$\pm$0.031&0.0037$\pm$0.0025\\\cline{2-6}&\tabincell{c}{NoHeredity\\$\lambda=10^{0}$}&1.008$\pm$0.010&1.054$\pm$0.019&1.045$\pm$0.022&0.0002$\pm$0.0001\\\hline\hline\end{tabular} |
|
Normed ED: 0.4332344213649852 |
|
Prediction: \begin{tabular}{l|cccccc} \hline Model&TrainAUC&ValAUC&TestAUC&ClarityLoss\\ \hline XGBoost&97.38$\pm$0.09&93.24$\pm$0.52&93.01$\pm$0.26&-\\ RF&93.59$\pm$0.10&92.01$\pm$0.62&91.98$\pm$0.35&-\\ MLP&93.15$\pm$0.65&93.12$\pm$0.90&92.29$\pm$0.41&-\\ GLM&90.81$\pm$0.21&90.77$\pm$0.47&90.60$\pm$0.30&-\\ pyCAM&91.90$\pm$0.17&91.68$\pm$0.39&91.53$\pm$0.36&-\\ EBM&94.59$\pm$0.16&94.63$\pm$0.40&93.16$\pm$0.31&1.228$\pm$0.0755\\ \hline A&\\ M&\\ I&\\ N&\\ 10$^*$T$&$\lambda=10^0$&92.15$\pm$0.42&92.08$\pm$0.46&91.85$\pm$0.42&0.0015$\pm$0.0016\\ &$\lambda=8$\times10^{-1}$&92.38$\pm$0.43&92.30$\pm$0.42&92.09$\pm$0.40&0.0018$\pm$0.0022\\ $\lambda=6$\times10^{-1}$&92.74$\pm$0.17&92.67$\pm$0.44&92.42$\pm$0.30&0.0038$\pm$0.0022\\ $\lambda=4$\times10^{-1}$&93.01$\pm$0.17&92.91$\pm$0.48&92.65$\pm$0.36&0.0052$\pm$0.0038\\ $\lambda=2$\times10^{-1}$&93.46$\pm$0.23&93.25$\pm$0.44&93.04$\pm$0.31&0.112$\pm$0.0044\\ $\lambda=10^{-1}$&93.94$\pm$0.23&93.52$\pm$0.41&93.33$\pm$0.39&0.284$\pm$0.0138\\ $\lambda=10^{-3}$&94.25$\pm$0.15&93.54$\pm$0.40&93.36$\pm$0.32&0.3733$\pm$0.0785\\ $\lambda=10^{-4} |
|
Answer: \begin{tabular}{c|c|cccc}\hline\multicolumn{2}{c|}{Model}&TrainAUC&ValAUC&TestAUC&ClarityLoss\\\hline\multicolumn{2}{c|}{XGBoost}&97.38$\pm$0.09&93.24$\pm$0.52&93.01$\pm$0.26&-\\\multicolumn{2}{c|}{RF}&93.59$\pm$0.10&92.01$\pm$0.62&91.98$\pm$0.35&-\\\multicolumn{2}{c|}{MLP}&93.15$\pm$0.65&93.12$\pm$0.90&92.29$\pm$0.41&-\\\multicolumn{2}{c|}{GLM}&90.81$\pm$0.21&90.77$\pm$0.47&90.60$\pm$0.30&-\\\multicolumn{2}{c|}{pyGAM}&91.90$\pm$0.17&91.68$\pm$0.39&91.53$\pm$0.36&-\\\multicolumn{2}{c|}{EBM}&94.59$\pm$0.16&94.63$\pm$0.40&93.16$\pm$0.31&1.0228$\pm$0.0755\\\hline\multirow{10}{*}{\shortstack{G\\A\\M\\I\\N\\E\\T}}&$\lambda=10^{0}$&92.15$\pm$0.42&92.08$\pm$0.46&91.85$\pm$0.42&0.0015$\pm$0.0016\\&$\lambda=8\times10^{-1}$&92.38$\pm$0.43&92.30$\pm$0.42&92.09$\pm$0.40&0.0018$\pm$0.0022\\&$\lambda=6\times10^{-1}$&92.74$\pm$0.17&92.67$\pm$0.44&92.42$\pm$0.30&0.0038$\pm$0.0022\\&$\lambda=4\times10^{-1}$&93.01$\pm$0.17&92.91$\pm$0.48&92.65$\pm$0.36&0.0052$\pm$0.0038\\&$\lambda=2\times10^{-1}$&93.46$\pm$0.23&93.25$\pm$0.44&93.04$\pm$0.31&0.0112$\pm$0.0044\\&$\lambda=10^{-1}$&93.94$\pm$0.23&93.52$\pm$0.41&93.33$\pm$0.39&0.0284$\pm$0.0138\\&$\lambda=10^{-2}$&94.22$\pm$0.20&93.53$\pm$0.38&93.38$\pm$0.33&0.0737$\pm$0.0255\\&$\lambda=10^{-3}$&94.25$\pm$0.15&93.54$\pm$0.40&93.36$\pm$0.32&0.3733$\pm$0.0785\\&$\lambda=10^{-4}$&94.19$\pm$0.26&93.52$\pm$0.42&93.34$\pm$0.30&1.5088$\pm$0.2752\\\cline{2-6}&\tabincell{c}{NoHeredity\\$\lambda=10^{-1}$}&93.94$\pm$0.23&93.51$\pm$0.41&93.33$\pm$0.40&0.0305$\pm$0.0166\\\hline\hline\end{tabular} |
|
Normed ED: 0.3339191564147627 |
|
Prediction: \begin{tabular}{lcccccc} \hline Model&TrainRMSE&ValRMSE&TestRMSE&ClarityLoss\\ \hline XGBoost&5.64$\pm$4.52&40.96$\pm$1.17&42.33$\pm$0.72&-\\ RF&62.00$\pm$0.72&65.12$\pm$1.47&65.69$\pm$2.10&-\\ MLP&35.54$\pm$1.37&37.09$\pm$1.52&43.35$\pm$1.32&-\\ GLM&158.98$\pm$0.52&158.54$\pm$2.49&159.09$\pm$1.57&-\\ pyCAM&99.52$\pm$0.60&100.16$\pm$1.16&10.22$\pm$1.12&-\\ EBM&54.32$\pm$0.55&54.27$\pm$0.99&57.48$\pm$1.20&0.0026$\pm$0.0005\\ \hline A&&&&&&&\\ M&&&&&&&\\ I&&&&&&\\ N&&&&&&&&\\ 10$^*$T$&$\lambda=10^0$&52.93$\pm$0.80&55.02$\pm$1.23&55.81$\pm$1.13&0.0005$\pm$0.001\\ &$\lambda=8$\times10^{-1}$&52.12$\pm$0.93&54.45$\pm$1.23&54.99$\pm$.00&0.0005$\pm$0.001\\ &$\lambda=6$\times10^{-1}$&51.26$\pm$0.80&53.63$\pm$1.10&54.27$\pm$.05&0.0006$\pm$\\ &$\lambda=4$\times10^{-1}$&50.84$\pm$\pm$0.76&53.31$\pm$0.03&53.91$\pm$\pm$0.13&0.007$\pm$0.0002\\ &$\lambda=2$\times10^{-1}$&50.21$\pm$0.96&52.98$\pm$1.32&53.47$\pm$1.19&0.007$\pm$0.001\\ &$\lambda=10^{-1}$&50.26$\pm$1.33&53.38$\pm$\pm$1.55&53.68$\pm$0.03\\ &$\lambda=10^{-3}$&50.22$\pm$0.95&53.08$\pm$1.53&53.71$\pm$0.07&0.0050$\pm$0.003\\ &$\lambda=10^{-4}$ |
|
Answer: \begin{tabular}{c|c|cccc}\hline\multicolumn{2}{c|}{Model}&TrainRMSE&ValRMSE&TestRMSE&ClarityLoss\\\hline\multicolumn{2}{c|}{XGBoost}&5.64$\pm$4.52&40.96$\pm$1.17&42.33$\pm$0.72&-\\\multicolumn{2}{c|}{RF}&62.00$\pm$0.72&65.12$\pm$1.47&65.69$\pm$2.10&-\\\multicolumn{2}{c|}{MLP}&35.54$\pm$1.31&37.09$\pm$1.52&43.35$\pm$1.32&-\\\multicolumn{2}{c|}{GLM}&158.98$\pm$0.52&158.54$\pm$2.49&159.09$\pm$1.57&-\\\multicolumn{2}{c|}{pyGAM}&99.52$\pm$0.60&100.16$\pm$1.61&100.22$\pm$1.12&-\\\multicolumn{2}{c|}{EBM}&54.32$\pm$0.55&54.27$\pm$0.99&57.48$\pm$1.20&0.0026$\pm$0.0005\\\hline\multirow{10}{*}{\shortstack{G\\A\\M\\I\\N\\E\\T}}&$\lambda=10^{0}$&52.93$\pm$0.80&55.02$\pm$1.23&55.81$\pm$1.13&0.0005$\pm$0.0001\\&$\lambda=8\times10^{-1}$&52.12$\pm$0.93&54.45$\pm$1.23&54.99$\pm$1.00&0.0005$\pm$0.0001\\&$\lambda=6\times10^{-1}$&51.26$\pm$0.80&53.63$\pm$1.11&54.27$\pm$1.05&0.0006$\pm$0.0001\\&$\lambda=4\times10^{-1}$&50.84$\pm$1.07&53.31$\pm$1.03&53.91$\pm$1.31&0.0007$\pm$0.0002\\&$\lambda=2\times10^{-1}$&50.21$\pm$0.96&52.98$\pm$1.32&53.47$\pm$1.19&0.0007$\pm$0.0001\\&$\lambda=10^{-1}$&50.26$\pm$1.33&53.38$\pm$1.85&53.68$\pm$1.83&0.0007$\pm$0.0001\\&$\lambda=10^{-2}$&50.00$\pm$0.93&53.02$\pm$1.33&53.40$\pm$1.12&0.0014$\pm$0.0002\\&$\lambda=10^{-3}$&50.22$\pm$0.95&53.08$\pm$1.53&53.71$\pm$1.07&0.0050$\pm$0.0033\\&$\lambda=10^{-4}$&50.08$\pm$1.08&53.03$\pm$0.92&53.62$\pm$0.96&0.0137$\pm$0.0067\\\cline{2-6}&\tabincell{c}{NoHeredity\\$\lambda=10^{-1}$}&50.26$\pm$1.33&53.38$\pm$1.85&53.68$\pm$1.83&0.0007$\pm$0.0001\\\hline\hline\end{tabular} |
|
Normed ED: 0.36814469078179696 |
|
Prediction: \begin{tabular}{ccccccc} \toprule \toprule \multirow{2}{*}{s}&\multicolumn{2}{c}{B.F.(J/$\mu^\text{DPS}}}\equilon{$\sigma$\sigma$\phi)}}&\multicolumn{2}{c}{$\mathrm{J}/\text{VA}^{\text{K}\left(\times10^{-3})$}&\multicolumn{2}{c}{$\mathrm{J}/\text{n}}\toprule \midrule $N$(940)&-&21.87&14.56\\ $N$(1520)&7.96&4.36&4.87\\ $N$(1535)&7.58&0.85&2.55\\ $N$(1650)&9.06&0.99&1.42\\ \bottomrule \end{tabular} \end{tabular} \bottomrule \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} %\end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} %\end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} %\end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} \end{tabular} %\end{tabular} \end{tabular} \end{tabular} \end{tabular} %\end{tabular} \end{tabular} |
|
Answer: \begin{tabular}{cccc}\toprule\midrule$N^{*}$s&$\rm{B.F.}_{(J/\psi\rightarrow\bar{p}p\pi^{0})}$($\times10^{-5}$)&$g^{J/\psi\pi}_{N^{*}}$($\times10^{-3}$)&$g^{J/\psi\eta}_{N^{*}}$($\times10^{-3}$)\\\midrule$N(940)$&-&21.87&14.56\\$N(1520)$&7.96&4.36&4.87\\$N(1535)$&7.58&0.85&2.55\\$N(1650)$&9.06&0.99&1.42\\\midrule\bottomrule\end{tabular} |
|
Normed ED: 0.8299531981279251 |
|
Prediction: \begin{tabular}{crrc} \toprule \multicolumn{2}{c}{Reaction}&\multicolumn{2}{c}{Thiswork(pb)}&Ref.\cite{wei2018deep}(pb)&Ref.\cite{wei2018deep}(pb)&$E_{\star}$\\ \midrule $\psilon_{\text{DPS}(1386)\text{$\eta$)}&$\varphi$&$\parphi_{wei2018lear}{\textbf{job}}&$\SI{Ref.\cite{wan2012}}}(pb)&$\SI{E}_{\star}$\\ \midrule \end{tabular} \end{tabular} \end{tabular} |
|
|
|
|
|
|
|
|
|
|