Data

Model

Normalization

None

Z-standard

Min-Max

MaxAbs (−1, 1)

Quantile Transform

Quantile Normalize

Breast cancer data with binary target

Logistic

Total Loss

0.043

0.626

0.626

0.626

0.626

0.042

Bias

0.029

0.626

0.626

0.626

0.626

0.028

Variance

0.013

0.000

0.000

0.000

0.000

0.014

Noise

0.000

0.000

0.000

0.000

0.000

0.000

Variance-Bias Ratio

0.451

0.000

0.000

0.000

0.000

0.487

Percent Change from Raw

~

1465.753

1465.753

1465.753

1465.753

98.205

Decision Tree

Total Loss

0.091

0.601

0.514

0.488

0.536

0.090

Bias

0.047

0.566

0.284

0.239

0.322

0.046

Variance

0.043

0.035

0.231

0.370

0.214

0.044

Noise

0.000

0.000

0.000

0.121

0.000

0.000

Variance-Bias Ratio

0.911

0.062

0.814

1.544

0.667

0.951

Percent Change from Raw

~

663.908

568.172

539.083

592.106

99.025

Random Forest

Total Loss

0.059

0.626

0.551

0.498

0.590

0.059

Bias

0.048

0.626

0.449

0.289

0.512

0.048