Data Partition: 편집 역사

2024년 11월 5일 (화)

• 최신이전 06:362024년 11월 5일 (화) 06:36‎ 핵톤 토론 기여‎ 5,033 바이트 +5,033‎ Created page with "'''Data Partition is a process in data science and machine learning where a dataset is divided into separate subsets to train, validate, and test a model'''. Data partitioning ensures that the model is evaluated on data it has not seen before, helping prevent overfitting and ensuring that it generalizes well to new data. Common partitions include training, validation, and test sets, each serving a specific purpose in the model development process. ==Types of Data Partiti..." 태그: 시각 편집