Table 2.
Results of 16 datasets (16 binary classification tasks) using different data scaling algorithms and classification models
| dataset | Method | None | Minmax | Zscore | GL |
|---|---|---|---|---|---|
| GSE27899IL | LR | NA ± NA | NA ± NA | NA ± NA | NA ± NA |
| SVM | 0.768 ± 0.104 | 0.814 ± 0.084 | 0.814 ± 0.074 | 0.824 ± 0.058 | |
| Prostate Cancer | LR | 0.464 ± 0.000 | 0.749 ± 0.130 | 0.689 ± 0.156 | 0.761 ± 0.108 |
| SVM | 0.573 ± 0.198 | 0.725 ± 0.232 | 0.713 ± 0.244 | 0.822 ± 0.194 | |
| Colon Cancer | LR | 0.500 ± 0.000 | 0.895 ± 0.092 | 0.892 ± 0.082 | 0.962 ± 0.046 |
| SVM | 0.670 ± 0.184 | 0.940 ± 0.058 | 0.937 ± 0.050 | 0.981 ± 0.020 | |
| Lung Cancer | LR | 0.450 ± 0.000 | 0.839 ± 0.096 | 0.834 ± 0.108 | 0.890 ± 0.050 |
| SVM | 0.397 ± 0.274 | 0.716 ± 0.136 | 0.710 ± 0.152 | 0.774 ± 0.182 | |
| Breast Cancer | LR | 0.324 ± 0.000 | 0.809 ± 0.038 | 0.821 ± 0.020 | 0.819 ± 0.022 |
| SVM | 0.708 ± 0.158 | 0.793 ± 0.052 | 0.795 ± 0.042 | 0.812 ± 0.038 | |
| Leukemia | LR | 0.500 ± 0.000 | 0.988 ± 0.014 | 0.990 ± 0.006 | 1.000 ± 0.000 |
| SVM | 0.935 ± 0.034 | 0.992 ± 0.010 | 0.991 ± 0.008 | 1.000 ± 0.000 | |
| GSE29490 | LR | NA ± NA | NA ± NA | NA ± NA | NA ± NA |
| SVM | 0.983 ± 0.012 | 0.984 ± 0.034 | 0.985 ± 0.034 | 0.994 ± 0.004 | |
| GSE25869 | LR | NA ± NA | NA ± NA | NA ± NA | NA ± NA |
| SVM | 0.935 ± 0.024 | 0.937 ± 0.020 | 0.938 ± 0.016 | 0.943 ± 0.014 | |
| Breast tissue | LR | 0.520 ± 0.006 | 0.961 ± 0.032 | 0.961 ± 0.044 | 0.940 ± 0.054 |
| SVM | 0.713 ± 0.108 | 0.968 ± 0.006 | 0.970 ± 0.014 | 0.972 ± 0.010 | |
| LSVT | LR | 0.500 ± 0.000 | 0.875 ± 0.008 | 0.846 ± 0.022 | 0.921 ± 0.012 |
| SVM | 0.500 ± 0.000 | 0.879 ± 0.012 | 0.863 ± 0.014 | 0.919 ± 0.020 | |
| DLBCL | LR | 0.601 ± 0.038 | 0.608 ± 0.038 | 0.610 ± 0.048 | 0.660 ± 0.062 |
| SVM | 0.616 ± 0.050 | 0.622 ± 0.052 | 0.619 ± 0.052 | 0.654 ± 0.054 | |
| Myeloma | LR | 0.500 ± 0.000 | 0.729 ± 0.044 | 0.739 ± 0.072 | 0.746 ± 0.038 |
| SVM | 0.573 ± 0.098 | 0.748 ± 0.052 | 0.747 ± 0.054 | 0.750 ± 0.054 | |
| Parkinsons | LR | 0.875 ± 0.012 | 0.896 ± 0.054 | 0.893 ± 0.058 | 0.906 ± 0.048 |
| SVM | 0.882 ± 0.010 | 0.875 ± 0.010 | 0.885 ± 0.024 | 0.891 ± 0.018 | |
| Wdbc | LR | 0.942 ± 0.002 | 0.982 ± 0.004 | 0.978 ± 0.006 | 0.993 ± 0.004 |
| SVM | 0.990 ± 0.002 | 0.994 ± 0.002 | 0.993 ± 0.004 | 0.995 ± 0.000 | |
| Indian Liver | LR | 0.680 ± 0.002 | 0.743 ± 0.008 | 0.742 ± 0.008 | 0.746 ± 0.010 |
| SVM | 0.636 ± 0.068 | 0.696 ± 0.008 | 0.692 ± 0.034 | 0.695 ± 0.008 | |
| Pima Indians Diabetes | LR | 0.604 ± 0.004 | 0.827 ± 0.004 | 0.827 ± 0.004 | 0.834 ± 0.006 |
| SVM | 0.826 ± 0.004 | 0.828 ± 0.006 | 0.828 ± 0.006 | 0.834 ± 0.006 |
The performances are measured by the average Area Under the ROC in 5-fold cross-validations. The means and 95 % confidence intervals are included. Column names: None - no data scaling; Minmax - Min-max algorithm; Z-score - Z-score algorithm; GL - GL algorithm. Best performances are emphasized in bold