Variance | 0.147 | 0.102 | 0.147 | 0.147 | 0.147 | 0.147 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.103 | 0.066 | 0.103 | 0.103 | 0.103 | 0.103 | ||
Percent Change from Raw | ~ | 105.064 | 100.000 | 100.000 | 100.000 | 100.000 | ||
SVM | Total Loss | 1.754 | 1.783 | 1.754 | 1.754 | 1.754 | 1.754 | |
Bias | 1.685 | 1.740 | 1.685 | 1.685 | 1.685 | 1.685 | ||
Variance | 0.069 | 0.043 | 0.069 | 0.069 | 0.069 | 0.069 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.041 | 0.025 | 0.041 | 0.041 | 0.041 | 0.041 | ||
Percent Change from Raw | ~ | 101.675 | 100.000 | 100.000 | 100.000 | 100.000 | ||
Gradient Boosting | Total Loss | 1.521 | 1.544 | 1.521 | 1.521 | 1.521 | 1.521 | |
Bias | 1.343 | 1.378 | 1.343 | 1.343 | 1.343 | 1.343 | ||
Variance | 0.178 | 0.166 | 0.178 | 0.178 | 0.178 | 0.178 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.133 | 0.121 | 0.133 | 0.133 | 0.133 | 0.133 | ||
Percent Change from Raw | ~ | 101.547 | 100.000 | 100.000 | 100.000 | 100.000 | ||
Neural Network | Total Loss | 1.554 | 1.525 | 1.554 | 1.554 | 1.553 | 1.554 | |
Bias | 1.405 | 1.301 | 1.405 | 1.405 | 1.404 | 1.405 | ||
Variance | 0.149 | 0.224 | 0.149 | 0.149 | 0.149 | 0.149 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.106 | 0.172 | 0.106 | 0.106 | 0.106 | 0.106 | ||
Percent Change from Raw | ~ | 98.134 | 100.007 | 99.993 | 99.947 | 99.980 |