Data

Model

Normalization

None

Z-standard

Min-Max

MaxAbs (−1, 1)

Quantile Transform

Quantile Normalize

Auto mpg Data - Continuous Target

Linear

Type of Loss

MSE

MSE

MSE

MSE

MSE

MSE

Total Loss

12.98046102

294,549,287

21.07621525

10,679,343,815

1,330,291,933

12.98015593

Bias

12.26544827

28,970,4291.2

15.90522095

10,498,618,797

1,271,499,879

12.26513305

Variance

0.715012746

4,844,995.802

5.170994305

5.170994305

58,792,054.55

0.715022881

Noise

0.000

0.000

0.000

180,725,013.172

0.000

0.000

Variance-Bias Ratio

0.058

0.017

0.325

0.000

0.046

0.058

Percent Change from Raw

~

2,269,174,312.476

162.369

82,272,453,970.192

10,248,418,231.961

99.998