Percent Change from Raw | ~ | 817.686 | 817.686 | 817.686 | 817.686 | 100.088 | ||
SVM | Total Loss | 0.652 | 8.712 | 8.884 | 8.840 | 8.878 | 0.662 | |
Bias | 0.623 | 8.632 | 8.771 | 8.747 | 8.768 | 0.629 | ||
Variance | 0.029 | 0.080 | 0.112 | 0.112 | 0.110 | 0.033 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.019 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.047 | 0.009 | 0.013 | 0.013 | 0.013 | 0.052 | ||
Percent Change from Raw | ~ | 1336.235 | 1362.522 | 1355.909 | 1361.662 | 101.476 | ||
Gradient Boosting | Total Loss | 0.550 | 151.982 | 151.982 | 152.078 | 151.982 | 0.552 | |
Bias | 0.289 | 150.938 | 150.938 | 151.034 | 150.938 | 0.290 | ||
Variance | 0.261 | 1.043 | 1.043 | 1.043 | 1.043 | 0.262 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.904 | 0.007 | 0.007 | 0.007 | 0.007 | 0.901 | ||
Percent Change from Raw | ~ | 27,615.537 | 27,615.537 | 27,633.076 | 27,615.537 | 100.363 | ||
Neural Network | Total Loss | 0.341 | 200,151.851 | 8,999,382.281 | 2,145,420,994.195 | 2,247,611.004 | 0.356 | |
Bias | 0.335 | 200,151.497 | 8,999,370.017 | 2,145,297,375.914 | 2,247,071.518 | 0.315 | ||
Variance | 0.007 | 0.355 | 12.264 | 12.264 | 539.487 | 0.041 | ||
Noise | 0.000 | 0.000 | 0.000 | 123606.017 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.020 | 0.000 | 0.000 | 0.000 | 0.000 | 0.132 | ||
Percent Change from Raw | ~ | 58,619,129.637 | 2,635,678,625.092 | 628,336,487,970.484 | 658,265,211.621 | 104.238 |