Data

Model

Normalization

None

Z-standard

Min-Max

MaxAbs (−1, 1)

Quantile Transform

Quantile Normalize

Ranked - Continuous Target

Linear

Type of Loss

MSE

MSE

MSE

MSE

MSE

MSE

Total Loss

0.174

304,375,397,009.301

3,627,820,620,136.140

3,635,081,968,755.210

3,635,123,035,407.580

0.174

Bias

0.174

304,375,397,000.036

3,627,820,620,026.510

3,635,081,968,645.360

3,635,121,515,273.040

0.174

Variance

0.000

9.265

109.624

109.624

1,520,134.541

0.000

Noise

0.000

0.000

0.006

0.226

0.001

0.000

Variance- Bias Ratio

0.000

0.000

0.000

0.000

0.000

0.000

Percent Change from Raw

~

175,139,389,533,788.000

2,087,469,273,113,810.000

2,091,647,495,719,290.000

2,091,671,125,712,040.000

100.000

Decision Tree

Total Loss

6464.023

3,058,180.695

3,058,180.695

3,058,180.695

3,058,180.695

6421.793

Bias

959.928

3,055,675.410

3,055,675.410

3,055,675.410

3,055,675.410

1113.417

Variance

5504.094

2505.285

2505.285

2505.285

2505.285

5308.376

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance- Bias Ratio

5.734

0.001

0.001

0.001

0.001

4.768

Percent Change from Raw

~

47,310.799

47,310.799

47,310.799

47,310.799

99.347

Random Forest

Total Loss

102,252.318

1,283,608.530

1,283,608.530

1,283,608.530

1,283,608.530

102,252.318

Bias

84,950.814

1,277,680.008

1,277,680.008

1,277,680.008

1,277,680.008

84,950.814

Variance

17,301.504

5928.522

5928.522

5928.522

5928.522

17,301.504

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance- Bias Ratio

0.204

0.005

0.005

0.005

0.005

0.204