Variance-Bias Ratio

0.000

9.816E-01

2.852E+00

2.863E+00

2.675E+00

0.000

Percent Change from Raw

~

1.562E+20

6.929E+19

6.913E+19

7.284E+19

100.000

Decision Tree

Total Loss

2.418

2.276

2.270

2.270

2.270

2.305

Bias

1.318

1.325

1.320

1.320

1.320

1.320

Variance

1.100

0.950

0.950

0.950

0.950

0.985

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance-Bias Ratio

0.834

0.717

0.719

0.719

0.719

0.746

Percent Change from Raw

~

94.094

93.868

93.868

93.868

95.304

Random Forest

Total Loss

1.505

1.307

1.307

1.307

1.307

1.505

Bias

1.396

1.279

1.279

1.279

1.279

1.396

Variance

0.108

0.028

0.028

0.028

0.028

0.108

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance-Bias Ratio

0.077

0.022

0.022

0.022

0.022

0.077

Percent Change from Raw

~

86.878

86.880

86.880

86.880

100.000

SVM

Total Loss

1.281

1.434

1.553

1.553

1.559

1.281

Bias

1.280

1.339

1.398

1.398

1.401

1.280

Variance

0.001

0.096

0.155

0.155

0.159

0.001

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance-Bias Ratio

0.001

0.071

0.111

0.111

0.113

0.001

Percent Change from Raw

~

111.913

121.171

121.171

121.664

100.000

Gradient Boosting

Total Loss

1.804

1.999

2.000

2.000

2.000

1.804

Bias

1.594

1.330

1.330

1.330

1.330

1.594

Variance

0.210

0.670

0.670

0.670

0.670

0.210

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance-Bias Ratio

0.132

0.504

0.504

0.504

0.504

0.132

Percent Change from Raw

~

110.831

110.855

110.855

110.855

100.000

Neural Network

Total Loss

1.345

3224.484

39,115.685

39,219.860

40,455.088

1.346

Bias

1.302

2119.686

25,869.107

25,937.281

27,183.789

1.302

Variance

0.043

1104.797

13,246.578

13,246.578

13,271.299

0.043

Noise

0.000

0.000

0.000

36.002

0.000

0.000

Variance-Bias Ratio

0.033

0.521

0.512

0.511

0.488

0.033

Percent Change from Raw

~

239,694.606

2,907,696.079

2,915,440.041

3,007,261.712

100.030