Randomly Generated Data for ML Models

该数据集包含了10000个随机生成的点，旨在用于训练机器学习模型，包括回归和分类任务。这些数据点是从正态分布中生成的，用于回归任务，而从伯努利分布中生成，用于分类任务。数据集规模为10000个样本，每个样本具有5个特征。其目的是为了训练进行回归和分类任务的机器学习模型。

This dataset consists of 10,000 randomly generated samples, intended for training machine learning models for both regression and classification tasks. For regression tasks, these samples are generated from a normal distribution, while for classification tasks, they are generated from a Bernoulli distribution. The dataset includes 10,000 samples in total, each with 5 features. This dataset is specifically developed to facilitate the training of machine learning models for regression and classification tasks.