| Noise | 0.000 | 10240.000 | 0.000 | 4298.972 | 0.000 | 0.000 | ||
| Variance-Bias Ratio | 0.014 | 0.498 | 0.000 | 0.000 | 2,139,189.427 | 0.022 | ||
| Percent Change from Raw | ~ | 841,116,717,750,002,000,000.000 | 1,517,435,060.458 | 578,089,621,005.122 | 516,618,612,087.659 | 98.992 | ||
| Decision Tree | ||||||||
| Total Loss | 0.955 | 74.278 | 74.222 | 74.222 | 74.222 | 1.193 | ||
| Bias | 0.472 | 73.880 | 73.821 | 73.817 | 73.821 | 0.717 | ||
| Variance | 0.483 | 0.398 | 0.401 | 0.401 | 0.401 | 0.476 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.004 | 0.000 | 0.000 | ||
| Bias-Variance Ratio | 1.023 | 0.005 | 0.005 | 0.005 | 0.005 | 0.664 | ||
| Percent Change from Raw | ~ | 7777.318 | 7771.442 | 7771.406 | 7771.442 | 124.898 | ||
| Random Forest | Total Loss | 3.925 | 23.205 | 23.205 | 23.205 | 23.205 | 3.921 | |
| Bias | 3.506 | 22.923 | 22.923 | 22.923 | 22.923 | 3.502 | ||
| Variance | 0.419 | 0.282 | 0.282 | 0.282 | 0.282 | 0.419 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
| Bias-Variance Ratio | 0.120 | 0.012 | 0.012 | 0.012 | 0.012 | 0.120 | ||
| Percent Change from Raw | ~ | 591.191 | 591.191 | 591.191 | 591.191 | 99.893 | ||
| SVM | Total Loss | 0.816 | 11.521 | 11.548 | 11.528 | 12.201 | 0.831 | |
| Bias | 0.783 | 11.519 | 11.528 | 11.521 | 11.952 | 0.801 | ||
| Variance | 0.032 | 0.002 | 0.021 | 0.021 | 0.250 | 0.031 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.014 | 0.000 | 0.000 | ||
| Bias-Variance Ratio | 0.041 | 0.000 | 0.002 | 0.002 | 0.021 | 0.038 | ||
| Percent Change from Raw | ~ | 1412.698 | 1416.026 | 1413.574 | 1496.065 | 101.955 | ||
| Gradient Boosting | Total Loss | 1.695 | 59.055 | 62.797 | 62.806 | 62.797 | 1.694 | |
| Bias | 1.154 | 58.342 | 62.004 | 62.013 | 62.004 | 1.151 | ||
| Variance | 0.541 | 0.712 | 0.792 | 0.792 | 0.792 | 0.543 | ||
| Noise | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 | ||
| Bias-Variance Ratio | 0.469 | 0.012 | 0.013 | 0.013 | 0.013 | 0.472 | ||
| Percent Change from Raw | ~ | 3483.593 | 3704.328 | 3704.895 | 3704.328 | 99.940 | ||
| Neural Network | Total Loss | 0.366 | 172,936.383 | 5,567,736.822 | 2,092,341,169.038 | 1,980,462.195 | 0.425 | |
| Bias | 0.359 | 172,879.121 | 5,567,709.809 | 2,077,346,984.312 | 1,980,266.673 | 0.355 | ||
| Variance | 0.007 | 57.262 | 27.013 | 27.013 | 195.522 | 0.070 | ||
| Noise | 0.000 | 0.000 | 0.000 | 14994157.713 | 0.000 | 0.000 | ||
| Bias-Variance Ratio | 0.020 | 0.000 | 0.000 | 0.000 | 0.000 | 0.198 | ||
| Percent Change from Raw | ~ | 47,277,162.892 | 1,522,101,918.052 | 572,001,983,668.337 | 541,416,629.719 | 116.261 |