Research Article
[Retracted] The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets
Table 8
Evaluation results for BC dataset using classifiers (KNN, SVM, and DT) and models (baseline, Tml, RUS, ENN, and HDUS).
| BC | | Baseline | Tml | RUS | ENN | HDUS |
| KNN | Sensitivity (%) | 33.33 | 44.44 | 57.11 | 50 | 61.11 | Specificity (%) | 84.91 | 70.36 | 65.81 | 70.36 | 73.58 | Precision (%) | 42.86 | 40 | 40.74 | 42.86 | 44.00 | F1_m (%) | 37.5 | 42.1 | 47.56 | 46.16 | 51.16 | Bacc (%) | 59.12 | 57.4 | 61.46 | 60.18 | 67.35 |
| SVM | Sensitivity (%) | 22.22 | 38.89 | 66.67 | 44.44 | 66.67 | Specificity (%) | 94.34 | 88.68 | 64.15 | 83.02 | 69.81 | Precision (%) | 57.14 | 53.85 | 38.71 | 47.06 | 42.86 | F1_m (%) | 32 | 45.16 | 48.98 | 45.71 | 52.17 | Bacc (%) | 58.28 | 63.78 | 65.41 | 63.73 | 68.24 |
| DT | Sensitivity (%) | 38.89 | 38.89 | 44.44 | 44.44 | 77.78 | Specificity (%) | 66.04 | 64.15 | 62.26 | 69.81 | 66.04 | Precision (%) | 28 | 26.92 | 28.57 | 33.33 | 43.75 | F1_m (%) | 32.56 | 31.82 | 34.78 | 38.09 | 56.00 | Bacc (%) | 52.46 | 51.52 | 53.35 | 57.13 | 71.91 |
| AVG | Sensitivity (%) | 31.48 | 40.74 | 56.07 | 46.29 | 68.52 | Specificity (%) | 81.76 | 74.4 | 64.07 | 74.4 | 69.81 | Precision (%) | 42.67 | 40.26 | 36.01 | 41.08 | 43.54 | F1_m (%) | 36.23 | 40.5 | 43.85 | 43.53 | 53.11 | Bacc (%) | 56.62 | 57.57 | 60.07 | 60.35 | 69.17 |
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