Classification Metrics: 편집 역사

2024년 11월 4일 (월)

• 최신이전 12:052024년 11월 4일 (월) 12:05‎ 핵톤 토론 기여‎ 3,024 바이트 +3,024‎ Created page with "'''Classification metrics''' are evaluation measures used to assess the performance of classification models in machine learning and data science. These metrics help determine how well a model can predict the correct class labels, particularly in supervised learning tasks. ==Common Classification Metrics== There are several widely used classification metrics, each serving different aspects of model performance: *'''Accuracy''': Measures the ratio of correct predictions t..." 태그: 시각 편집