From: Random generalized linear model: a highly accurate and interpretable ensemble predictor
Data set | RGLM | RGLM.inter2 | RF | RFbigmtry | Rpart | LDA | DLDA | KNN | SVM | SC |
---|---|---|---|---|---|---|---|---|---|---|
BreastCancer | 0.964 | 0.959 | 0.969 | 0.961 | 0.941 | 0.957 | 0.959 | 0.966 | 0.967 | 0.956 |
HouseVotes84 | 0.961 | 0.963 | 0.958 | 0.954 | 0.954 | 0.951 | 0.914 | 0.924 | 0.958 | 0.938 |
Ionosphere | 0.883 | 0.946 | 0.932 | 0.917 | 0.875 | 0.863 | 0.809 | 0.849 | 0.940 | 0.829 |
diabetes | 0.768 | 0.759 | 0.759 | 0.754 | 0.741 | 0.768 | 0.732 | 0.740 | 0.757 | 0.743 |
Sonar | 0.769 | 0.837 | 0.817 | 0.788 | 0.707 | 0.726 | 0.697 | 0.812 | 0.822 | 0.726 |
ringnorm | 0.577 | 0.973 | 0.940 | 0.910 | 0.770 | 0.567 | 0.570 | 0.590 | 0.977 | 0.535 |
threenorm | 0.803 | 0.827 | 0.807 | 0.777 | 0.653 | 0.817 | 0.825 | 0.815 | 0.853 | 0.817 |
twonorm | 0.937 | 0.953 | 0.947 | 0.920 | 0.733 | 0.957 | 0.960 | 0.947 | 0.953 | 0.960 |
Glass | 0.636 | 0.743 | 0.827 | 0.799 | 0.729 | 0.659 | 0.531 | 0.808 | 0.748 | 0.645 |
Satellite | 0.986 | 0.987 | 0.988 | 0.985 | 0.961 | 0.985 | 0.734 | 0.990 | 0.988 | 0.803 |
Vehicle | 0.965 | 0.986 | 0.986 | 0.973 | 0.944 | 0.967 | 0.729 | 0.909 | 0.974 | 0.752 |
Vowel | 0.936 | 0.986 | 0.983 | 0.976 | 0.950 | 0.938 | 0.853 | 0.999 | 0.991 | 0.909 |
MeanAccuracy | 0.849 | 0.910 | 0.909 | 0.893 | 0.830 | 0.846 | 0.776 | 0.862 | 0.911 | 0.801 |
Rank | 6 | 2 | 2 | 4 | 8 | 7 | 10 | 5 | 2 | 9 |
Pvalue | 0.0093 | NA | 0.26 | 0.042 | 0.00049 | 0.0093 | 0.0067 | 0.11 | 0.96 | 0.0015 |