ayyoubsoullami/nab-anomaly-detection
收藏资源简介：
该数据集是一个结构化机器学习数据集，包含一个浮点列表特征（feature_0）和一个整数标签（label），用于分类或回归任务。数据集分为训练集（229,577个示例）、验证集（30,354个示例）和测试集（97,101个示例），总大小约为147.1 MB。数据以文件形式存储，路径包括data/train-*、data/validation-*和data/test-*。由于README未提供具体描述，此信息基于技术元数据推断。
This dataset is a structured machine learning dataset containing a float list feature (feature_0) and an integer label (label), designed for classification or regression tasks. It is split into training (229,577 examples), validation (30,354 examples), and test (97,101 examples) sets, with a total size of approximately 147.1 MB. The data is stored in files with paths including data/train-*, data/validation-*, and data/test-*. As the README does not include a descriptive summary, this information is inferred from technical metadata.
