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Table 3 Results of 16 datasets (16 binary classification tasks) using different data scaling algorithms and classification models

From: A robust data scaling algorithm to improve classification accuracies in biomedical data

dataset Method None Minmax Zscore GL
GSE27899IL LR NA ± NA NA ± NA NA ± NA NA ± NA
  SVM 0.770 ± 0.054 0.780 ± 0.134 0.780 ± 0.134 0.780 ± 0.134
Prostate Cancer LR 0.609 ± 0.000 0.757 ± 0.132 0.722 ± 0.078 0.765 ± 0.100
  SVM 0.635 ± 0.078 0.748 ± 0.156 0.748 ± 0.156 0.835 ± 0.114
Colon Cancer LR 0.577 ± 0.000 0.877 ± 0.064 0.877 ± 0.064 0.923 ± 0.054
  SVM 0.677 ± 0.178 0.900 ± 0.042 0.915 ± 0.034 0.946 ± 0.042
Lung Cancer LR 0.741 ± 0.000 0.859 ± 0.062 0.852 ± 0.052 0.896 ± 0.062
  SVM 0.778 ± 0.052 0.859 ± 0.034 0.859 ± 0.034 0.867 ± 0.040
Breast Cancer LR 0.773 ± 0.000 0.918 ± 0.040 0.955 ± 0.000 0.955 ± 0.000
  SVM 0.827 ± 0.040 0.909 ± 0.000 0.909 ± 0.000 0.936 ± 0.050
Leukemia LR 0.710 ± 0.000 0.956 ± 0.030 0.965 ± 0.030 1.000 ± 0.000
  SVM 0.939 ± 0.030 0.965 ± 0.030 0.965 ± 0.030 1.000 ± 0.000
GSE29490 LR NA ± NA NA ± NA NA ± NA NA ± NA
  SVM 0.942 ± 0.034 0.954 ± 0.034 0.958 ± 0.034 0.979 ± 0.000
GSE25869 LR NA ± NA NA ± NA NA ± NA NA ± NA
  SVM 0.891 ± 0.038 0.891 ± 0.044 0.894 ± 0.034 0.897 ± 0.034
Breast tissue LR 0.778 ± 0.016 0.930 ± 0.010 0.930 ± 0.016 0.927 ± 0.016
  SVM 0.681 ± 0.220 0.932 ± 0.024 0.926 ± 0.020 0.942 ± 0.008
LSVT LR 0.500 ± 0.000 0.870 ± 0.012 0.824 ± 0.038 0.915 ± 0.002
  SVM 0.500 ± 0.000 0.873 ± 0.036 0.858 ± 0.036 0.908 ± 0.006
DLBCL LR 0.567 ± 0.014 0.571 ± 0.014 0.579 ± 0.032 0.602 ± 0.074
  SVM 0.594 ± 0.082 0.592 ± 0.064 0.585 ± 0.044 0.600 ± 0.100
Myeloma LR 0.792 ± 0.000 0.805 ± 0.020 0.804 ± 0.018 0.805 ± 0.026
  SVM 0.794 ± 0.006 0.809 ± 0.014 0.807 ± 0.026 0.813 ± 0.020
Parkinsons LR 0.865 ± 0.006 0.894 ± 0.022 0.891 ± 0.016 0.868 ± 0.006
  SVM 0.880 ± 0.016 0.884 ± 0.006 0.877 ± 0.020 0.868 ± 0.016
Wdbc LR 0.878 ± 0.002 0.965 ± 0.010 0.963 ± 0.012 0.971 ± 0.012
  SVM 0.960 ± 0.010 0.979 ± 0.004 0.976 ± 0.002 0.980 ± 0.008
Indian Liver LR 0.716 ± 0.002 0.727 ± 0.014 0.733 ± 0.008 0.736 ± 0.006
  SVM 0.719 ± 0.006 0.720 ± 0.014 0.718 ± 0.010 0.720 ± 0.008
Pima Indians Diabetes LR 0.490 ± 0.070 0.738 ± 0.010 0.738 ± 0.010 0.740 ± 0.012
  SVM 0.734 ± 0.052 0.765 ± 0.008 0.753 ± 0.040 0.748 ± 0.034
  1. The performances are measured by the average proportion of correct classification in 5-fold cross-validations. The means and 95 % confidence intervals are included. Column names: None - no data scaling; Minmax - Min-max algorithm; Zscore - Z-score algorithm; GL - GL algorithm. Best performances are emphasized in bold