Research Article
[Retracted] The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets
Table 1
The features of colorectal cancer dataset.
| | No. | Attribute name | Data type |
| | 1 | Tumour site (in colorectal) | Categorical | | 2 | Surgery type | Categorical | | 3 | Operation type (on which part of colorectal the operation was done) | Categorical | | 4 | Differentiation | Categorical | | 5 | Dukes stage of tumour | Categorical | | 6 | T stage 5th edition | Categorical | | 7 | N stage 5th edition | Categorical | | 8 | EMVI | Categorical | | 9 | Tumour perforation | Categorical | | 10 | Resection margin | Categorical | | 11 | Neoadjuvant therapy n-CRT | Categorical | | 12 | Chemotherapy | Categorical | | 13 | Radiotherapy | Categorical | | 14 | CRC metastasis (class) | Categorical |
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