| Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.094 | 0.000 | 0.000 | 0.000 | 0.000 | 0.086 | ||
| Percent Change from Raw | ~ | 97.849 | 97.849 | 97.849 | 97.849 | 100.306 | ||
| Gradient Boosting | Total Loss | 0.046 | 0.939 | 0.927 | 0.934 | 0.920 | 0.046 | |
| Bias | 0.035 | 0.913 | 0.891 | 0.905 | 0.876 | 0.035 | ||
| Variance | 0.011 | 0.026 | 0.036 | 0.003 | 0.044 | 0.011 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.027 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.319 | 0.028 | 0.041 | 0.003 | 0.050 | 0.319 | ||
| Percent Change from Raw | ~ | 2032.992 | 2007.584 | 2022.734 | 1991.394 | 100.018 | ||
| Neural Network | Total Loss | 0.038 | 0.406 | 0.387 | 0.526 | 0.178 | 0.038 | |
| Bias | 0.037 | 0.173 | 0.154 | 0.279 | 0.049 | 0.037 | ||
| Variance | 0.001 | 0.232 | 0.234 | 0.000 | 0.129 | 0.001 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.247 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.025 | 1.340 | 1.521 | 0.000 | 2.629 | 0.017 | ||
| Percent Change from Raw | ~ | 1072.621 | 1023.751 | 1391.955 | 471.839 | 99.592 |