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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