Percent Change from Raw | ~ | 1255.334 | 1255.334 | 1255.334 | 1255.334 | 100.000 | ||
SVM | Total Loss | 468,652.034 | 468,824.111 | 468,659.254 | 468,659.354 | 468,687.960 | 468,652.034 | |
Bias | 467,902.232 | 468,167.990 | 467,974.616 | 467,974.484 | 467,999.280 | 467,902.232 | ||
Variance | 749.803 | 656.121 | 684.638 | 684.638 | 688.680 | 749.803 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.232 | 0.000 | 0.000 | ||
Variance- Bias Ratio | 0.002 | 0.001 | 0.001 | 0.001 | 0.001 | 0.002 | ||
Percent Change from Raw | ~ | 100.037 | 100.002 | 100.002 | 100.008 | 100.000 | ||
Gradient Boosting | Total Loss | 10,562.614 | 3,087,157.051 | 3,087,157.051 | 3,087,157.051 | 3,087,157.051 | 10,562.614 | |
Bias | 3,197.090 | 3,083,591.900 | 3,083,591.900 | 3,083,591.900 | 3,083,591.900 | 3197.090 | ||
Variance | 7365.524 | 3565.151 | 3565.151 | 3565.151 | 3565.151 | 7365.524 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance- Bias Ratio | 2.304 | 0.001 | 0.001 | 0.001 | 0.001 | 2.304 | ||
Percent Change from Raw | ~ | 29227.208 | 29227.208 | 29227.208 | 29227.208 | 100.000 | ||
Neural Network | Total Loss | 0.175 | 304,375,382,136.401 | 3,627,820,444,148.760 | 3,635,081,654,196.280 | 3,635,123,003,365.700 | 0.175 | |
Bias | 0.174 | 304,375,382,127.117 | 3,627,820,444,038.680 | 3,635,081,654,084.160 | 3,635,121,483,216.140 | 0.174 | ||
Variance | 0.001 | 9.284 | 110.079 | 110.079 | 1520149.555 | 0.001 | ||
Noise | 0.000 | 0.000 | 0.000 | 2.041 | 0.005 | 0.000 | ||
Variance- Bias Ratio | 0.007 | 0.000 | 0.000 | 0.000 | 0.000 | 0.007 | ||
Percent Change from Raw | ~ | 173,769,104,867,507.000 | 2,071,136,984,781,720.000 | 2,075,282,438,206,230.000 | 2,075,306,044,609,960.000 | 99.994 |