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 |