| Variance | 0.011 | 0.000 | 0.102 | 0.124 | 0.078 | 0.011 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.085 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.232 | 0.000 | 0.226 | 0.429 | 0.152 | 0.232 | ||
| Percent Change from Raw | ~ | 1061.508 | 934.306 | 845.407 | 1000.397 | 100.010 | ||
| SVM | Total Loss | 0.374 | 0.625 | 0.422 | 0.405 | 0.608 | 0.374 | |
| Bias | 0.374 | 0.622 | 0.268 | 0.297 | 0.543 | 0.374 | ||
| Variance | 0.000 | 0.003 | 0.154 | 0.190 | 0.065 | 0.000 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.082 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.000 | 0.005 | 0.574 | 0.639 | 0.120 | 0.000 | ||
| Percent Change from Raw | ~ | 166.986 | 112.766 | 108.264 | 162.484 | 100.000 | ||
| Gradient Boosting | Total Loss | 0.067 | 0.624 | 0.561 | 0.551 | 0.596 | 0.067 | |
| Bias | 0.042 | 0.623 | 0.418 | 0.343 | 0.502 | 0.042 | ||
| Variance | 0.025 | 0.001 | 0.143 | 0.177 | 0.094 | 0.025 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.031 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.594 | 0.002 | 0.341 | 0.515 | 0.187 | 0.594 | ||
| Percent Change from Raw | ~ | 938.808 | 843.573 | 827.809 | 896.325 | 100.053 | ||
| Neural Network | Total Loss | 0.069 | 0.626 | 0.626 | 0.626 | 0.374 | 0.068 | |
| Bias | 0.055 | 0.626 | 0.626 | 0.626 | 0.374 | 0.055 | ||
| Variance | 0.014 | 0.000 | 0.000 | 0.000 | 0.000 | 0.013 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.249 | 0.000 | 0.000 | 0.000 | 0.001 | 0.230 | ||
| Percent Change from Raw | ~ | 906.933 | 906.933 | 906.933 | 542.761 | 98.940 |