Research Article
HDEC: A Heterogeneous Dynamic Ensemble Classifier for Binary Datasets
Table 3
The best result of individual classifiers.
| Dataset | Accuracy | Geometric mean | Type | Value | Type | Value |
| AUS | RT | 85.65 ± 0.46 | 1R | 85.98 ± 0.51 | BRC | DT | 74.23 ± 0.96 | DS | 62.11 ± 2.24 | COL | DT | 85.38 ± 0.29 | DT | 81.85 ± 0.34 | DBT | SVM | 76.86 ± 0.31 | BN | 71.81 ± 0.94 | CLS | KNN | 100 | KNN | 100 | HRT | SVM | 84.44 ± 0.51 | SVM | 83.90 ± 0.57 | HPT | SVM | 85.10 ± 1.57 | NB | 78.28 ± 0.83 | ION | RT | 91.16 ± 0.73 | DT | 89.02 ± 0.81 | LVD | K | 66.67 ± 1.39 | K∗ | 65.76 ± 1.30 | SON | KNN | 86.54 ± 0.27 | KNN | 86.20 ± 0.33 | GDE | DsT | 83.19 ± 0.33 | DT | 70.27 ± 0.44 | VOT | DT | 96.64 ± 0.21 | DT | 96.39 ± 0.21 |
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