Synthetic Cancer Prediction Dataset for Research.zip
The provided dataset is a synthetically generated collection of information aimed at simulating a cancer prediction scenario for research purposes. It comprises 10,000 pseudo-patients, each characterized by five distinct parameters, namely: Gender, Age, Smoking, Fatigue, and Allergy, along with a binary indicator denoting the presence or absence of cancer. This synthetic dataset serves as a tool for researchers to explore and experiment with predictive models for cancer detection.
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Additional Information
| Field | Value |
|---|---|
| Data last updated | October 8, 2024 |
| Metadata last updated | October 8, 2024 |
| Created | October 8, 2024 |
| Format | ZIP |
| License | Creative Commons Attribution |
| Datastore active | False |
| Has views | False |
| Id | d0a6ff7e-df73-479d-927d-e78193ff6ab6 |
| Mimetype | application/zip |
| Package id | 0247ae00-549b-4f1c-94d3-e380b1882f86 |
| Position | 0 |
| Size | 25 KiB |
| State | active |
| Url type | upload |