Data | Model | Normalization | None | Z-standard | Min-Max | MaxAbs (−1, 1) | Quantile Transform | Quantile Normalize |
Arrhythmia data with binary target | Logistic | Total Loss | 0.065 | 0.875 | 0.755 | 0.636 | 0.905 | 0.064 |
Bias | 0.046 | 0.828 | 0.650 | 0.476 | 0.877 | 0.046 | ||
Variance | 0.018 | 0.047 | 0.105 | 0.144 | 0.027 | 0.018 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.016 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.398 | 0.057 | 0.161 | 0.302 | 0.031 | 0.395 | ||
Percent Change from Raw | ~ | 1350.982 | 1165.815 | 983.032 | 1397.399 | 98.683 | ||
Decision Tree | ||||||||
Total Loss | 0.034 | 0.094 | 0.099 | 0.098 | 0.100 | 0.034 | ||
Bias | 0.018 | 0.056 | 0.055 | 0.056 | 0.055 | 0.018 | ||
Variance | 0.016 | 0.038 | 0.044 | 0.046 | 0.044 | 0.016 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.004 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.907 | 0.691 | 0.796 | 0.834 | 0.798 | 0.907 | ||
Percent Change from Raw | ~ | 274.608 | 290.841 | 286.111 | 291.056 | 100.000 | ||
Random Forest | Total Loss | 0.059 | 0.111 | 0.172 | 0.153 | 0.160 | 0.059 | |
Bias | 0.059 | 0.057 | 0.063 | 0.062 | 0.062 | 0.059 | ||
Variance | 0.001 | 0.054 | 0.108 | 0.127 | 0.098 | 0.001 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.035 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.013 | 0.937 | 1.708 | 2.057 | 1.594 | 0.013 | ||
Percent Change from Raw | ~ | 186.609 | 289.307 | 258.218 | 268.824 | 100.000 | ||
SVM | Total Loss | 0.059 | 0.059 | 0.059 | 0.059 | 0.059 | 0.059 | |
Bias | 0.059 | 0.059 | 0.059 | 0.059 | 0.059 | 0.059 | ||
Variance | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Noise | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Variance-Bias Ratio | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
Percent Change from Raw | ~ | 100.000 | 100.000 | 100.000 | 100.000 | 100.000 |