High-dimensional synthetic data for classification

This dataset is a high-dimensional synthetic dataset specifically designed for classification tasks, containing 50 features and one binary target variable. It is characterized by high dimensionality, entirely numerical features, and balanced class distribution, making it well-suited for training and evaluating binary classification models, high-dimensional data processing, feature selection and dimensionality reduction techniques, as well as exploring the impact of noise on model performance.