Percent Change from Raw

~

817.686

817.686

817.686

817.686

100.088

SVM

Total Loss

0.652

8.712

8.884

8.840

8.878

0.662

Bias

0.623

8.632

8.771

8.747

8.768

0.629

Variance

0.029

0.080

0.112

0.112

0.110

0.033

Noise

0.000

0.000

0.000

0.019

0.000

0.000

Variance-Bias Ratio

0.047

0.009

0.013

0.013

0.013

0.052

Percent Change from Raw

~

1336.235

1362.522

1355.909

1361.662

101.476

Gradient Boosting

Total Loss

0.550

151.982

151.982

152.078

151.982

0.552

Bias

0.289

150.938

150.938

151.034

150.938

0.290

Variance

0.261

1.043

1.043

1.043

1.043

0.262

Noise

0.000

0.000

0.000

0.001

0.000

0.000

Variance-Bias Ratio

0.904

0.007

0.007

0.007

0.007

0.901

Percent Change from Raw

~

27,615.537

27,615.537

27,633.076

27,615.537

100.363

Neural Network

Total Loss

0.341

200,151.851

8,999,382.281

2,145,420,994.195

2,247,611.004

0.356

Bias

0.335

200,151.497

8,999,370.017

2,145,297,375.914

2,247,071.518

0.315

Variance

0.007

0.355

12.264

12.264

539.487

0.041

Noise

0.000

0.000

0.000

123606.017

0.000

0.000

Variance-Bias Ratio

0.020

0.000

0.000

0.000

0.000

0.132

Percent Change from Raw

~

58,619,129.637

2,635,678,625.092

628,336,487,970.484

658,265,211.621

104.238