Research Article
[Retracted] The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets
Table 3
The features of THS dataset.
| No. | Attribute name | Data type |
| 1 | Diagnosis | Categorical | 2 | Forced vital capacity | Numeric | 3 | A volume that has been exhaled at the end of the first of forced expiration | Numeric | 4 | Performance status | Categorical | 5 | Pain before surgery | Categorical | 6 | Hemoptysis before surgery | Categorical | 7 | Dyspnoea before surgery | Categorical | 8 | Cough before surgery | Categorical | 9 | Weakness before surgery | Categorical | 10 | Size of the original tumour | Categorical | 11 | Type 2 diabetes mellitus | Categorical | 12 | Myocardial infarction up to six months | Categorical | 13 | Peripheral arterial diseases | Categorical | 14 | Smoking | Categorical | 15 | Asthma | Categorical | 16 | Age at surgery | Numeric | 17 | One-year survival period (class) | Categorical |
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