Synthetic Stroke Prediction Dataset

This dataset is a synthetic version inspired by the original "Stroke Prediction Dataset" on Kaggle. It contains anonymized, artificially generated data intended for research and model training on healthcare-related stroke prediction. The dataset generated using GPT-4o contains 50,000 records and 12 features. The target variable is stroke, a binary classification where 1 represents stroke occurrence and 0 represents no stroke. The dataset includes both numerical and categorical features, requiring preprocessing steps before analysis. A small portion of the entries includes intentionally introduced missing values to allow users to practice various data preprocessing techniques such as imputation, missing data analysis, and cleaning.
The dataset is suitable for educational and research purposes, particularly in machine learning tasks related to classification, healthcare analytics, and data cleaning.
No real-world patient information was used in creating this dataset.