Research Article
Adaptive Particle Swarm Optimization Algorithm Ensemble Model Applied to Classification of Unbalanced Data
Table 5
Results of the measured performance of models.
| Data | Model | ACC | Precision | Recall | F1-measure | ROC area |
| ecoli-3 | LR | 0.922 | 0.917 | 0.922 | 0.910 | 0.910 | MLP | 0.932 | 0.933 | 0.934 | 0.933 | 0.932 | DT | 0.922 | 0.915 | 0.922 | 0.917 | 0.824 | SVM | 0.896 | 0.802 | 0.896 | 0.846 | 0.502 | RF | 0.934 | 0.929 | 0.934 | 0.932 | 0.936 | APSO-RF | 0.938 | 0.931 | 0.942 | 0.941 | 0.939 |
| glass-1 | LR | 0.648 | 0.621 | 0.648 | 0.618 | 0.681 | MLP | 0.662 | 0.668 | 0.662 | 0.665 | 0.676 | DT | 0.775 | 0.770 | 0.775 | 0.771 | 0.749 | SVM | 0.793 | 0.794 | 0.793 | 0.784 | 0.743 | RF | 0.836 | 0.837 | 0.836 | 0.824 | 0.896 | APSO-RF | 0.851 | 0.841 | 0.838 | 0.830 | 0.902 |
| new-thyroid-1 | LR | 0.986 | 0.986 | 0.986 | 0.986 | 0.997 | MLP | 0.981 | 0.981 | 0.980 | 0.981 | 0.997 | DT | 0.981 | 0.981 | 0.981 | 0.981 | 0.972 | SVM | 0.879 | 0.894 | 0.879 | 0.847 | 0.629 | RF | 0.972 | 0.972 | 0.972 | 0.971 | 0.998 | APSO-RF | 0.988 | 0.987 | 0.986 | 0.982 | 0.998 |
| page-blocks-0 | LR | 0.951 | 0.947 | 0.950 | 0.947 | 0.941 | MLP | 0.968 | 0.967 | 0.968 | 0.967 | 0.978 | DT | 0.986 | 0.986 | 0.986 | 0.986 | 0.991 | SVM | 0.994 | 0.992 | 0.990 | 0.994 | 0.977 | RF | 0.996 | 0.995 | 0.992 | 0.996 | 0.993 | APSO-RF | 0.997 | 0.997 | 0.994 | 0.998 | 0.994 |
| vehicle-1 | LR | 0.786 | 0.781 | 0.786 | 0.783 | 0.937 | MLP | 0.842 | 0.838 | 0.840 | 0.839 | 0.918 | DT | 0.717 | 0.714 | 0.717 | 0.716 | 0.830 | SVM | 0.492 | 0.242 | 0.492 | 0.325 | 0.502 | RF | 0.831 | 0.803 | 0.812 | 0.821 | 0.933 | APSO-RF | 0.852 | 0.840 | 0.832 | 0.842 | 0.994 |
| wisconsin | LR | 0.965 | 0.965 | 0.965 | 0.965 | 0.992 | MLP | 0.963 | 0.963 | 0.963 | 0.963 | 0.992 | DT | 0.959 | 0.959 | 0.959 | 0.959 | 0.957 | SVM | 0.960 | 0.964 | 0.960 | 0.961 | 0.968 | RF | 0.969 | 0.969 | 0.969 | 0.969 | 0.993 | APSO-RF | 0.971 | 0.975 | 0.974 | 0.975 | 0.944 |
| veast-1 | LR | 0.757 | 0.740 | 0.757 | 0.728 | 0.790 | MLP | 0.769 | 0.756 | 0.769 | 0.757 | 0.796 | DT | 0.760 | 0.745 | 0.760 | 0.746 | 0.726 | SVM | 0.721 | 0.713 | 0.721 | 0.626 | 0.526 | RF | 0.778 | 0.767 | 0.778 | 0.769 | 0.806 | APSO-RF | 0.782 | 0.774 | 0.782 | 0.770 | 0.821 |
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