Model Evaluation: 편집 역사

2024년 12월 3일 (화)

• 최신이전 06:212024년 12월 3일 (화) 06:21‎ Deposition 토론 기여‎ 4,789 바이트 +4,789‎ 새 문서: '''Model Evaluation''' refers to the process of assessing the performance of a machine learning model on a given dataset. It is a critical step in machine learning workflows to ensure that the model generalizes well to unseen data and performs as expected for the target application. ==Objectives of Model Evaluation== The key objectives of model evaluation are: *'''Assess Performance:''' Measure how well the model predicts outcomes. *'''Compare Models:''' Evaluate multiple models... 태그: 시각 편집