Table 4 The performance comparison for classification and regression tasks

0.252 \(\pm\) 0.014

0.818 \(\pm\) 0.005

0.721 \(\pm\) 0.088

_^b

0.798 \(\pm\) 0.040

0.258 \(\pm\) 0.015

0.837 \(\pm\) 0.010

0.837 \(\pm\) 0.062

0.738 \(\pm\) 0.009

0.803 \(\pm\) 0.045

0.258 \(\pm\) 0.013

0.859 \(\pm\) 0.011

0.873 \(\pm\) 0.051

0.752 \(\pm\) 0.010

0.788 \(\pm\) 0.050

0.281 \(\pm\) 0.028

0.855 \(\pm\) 0.015

0.895 \(\pm\) 0.037

0.749 \(\pm\) 0.013

0.788 \(\pm\) 0.039

0.272 \(\pm\) 0.022

0.853 \(\pm\) 0.013

0.870 \(\pm\) 0.042

0.751 \(\pm\) 0.010

0.789 \(\pm\) 0.031

0.280 \(\pm\) 0.018

0.864 \(\pm\) 0.010

0.825 \(\pm\) 0.091

0.757 \(\pm\) 0.013

0.769 \(\pm\) 0.038

0.295 \(\pm\) 0.021

0.857 \(\pm\) 0.010

0.904 \(\pm\) 0.034

0.760 \(\pm\) 0.013

0.809 \(\pm\) 0.036

1.315 \(\pm\) 0.021

1.230 \(\pm\) 0.066

0.846 \(\pm\) 0.039

2.467 \(\pm\) 0.570

0.014 \(\pm\) 0.000

1.321 \(\pm\) 0.016

0.614 \(\pm\) 0.109

0.674 \(\pm\) 0.043

1.275 \(\pm\) 0.352

0.016 \(\pm\) 0.000

1.309 \(\pm\) 0.017

0.575 \(\pm\) 0.086

0.585 \(\pm\) 0.044

1.042 \(\pm\) 0.220

0.010 \(\pm\) 0.000

1.307 \(\pm\) 0.024

0.594 \(\pm\) 0.066

0.558 \(\pm\) 0.044

0.915 \(\pm\) 0.142

0.010 \(\pm\) 0.000

1.325 \(\pm\) 0.015

0.601 \(\pm\) 0.056

0.580 \(\pm\) 0.035

0.970 \(\pm\) 0.368

0.012 \(\pm\) 0.000

1.315 \(\pm\) 0.021

0.632 \(\pm\) 0.062

0.599 \(\pm\) 0.035

0.962 \(\pm\) 0.257

0.010 \(\pm\) 0.000

1.305 \(\pm\) 0.017

0.566 \(\pm\) 0.075

0.554 \(\pm\) 0.041

0.902 \(\pm\) 0.157

0.009 \(\pm\) 0.000