The dataset for this competition (both train and test) was generated from a deep learning model trained on the PCOS dataset. Feature distributions are close to, but not exactly the same, as the original. Feel free to use the original dataset as part of this competition, both to explore differences as well as to see whether incorporating the original in training improves model performance. About Dataset The primary purpose of this dataset is to facilitate research and analysis on the impact of lifestyle choices on PCOS. It is designed for: Exploratory Data Analysis (EDA): Understanding trends, correlations, and patterns in the data. Predictive Modeling: Building machine learning models to predict PCOS based on health metrics. Health Research: Supporting studies on how diet, exercise, and stress levels contribute to PCOS prevalence. Awareness:Educating individuals and healthcare providers about the importance of lifestyle in managing reproductive health.