Gain (Data Science): 편집 역사

2024년 11월 4일 (월)

• 최신이전 14:162024년 11월 4일 (월) 14:16‎ 핵톤 토론 기여‎ 3,713 바이트 +3,713‎ Created page with "'''Gain''' is a metric used in data science, marketing, and predictive modeling to measure the cumulative success of a model in capturing positive outcomes as more of the dataset is utilized. It provides insight into how effectively a model ranks and selects positive cases, particularly in applications where maximizing the return on targeted resources is essential. ==What is Gain?== Gain quantifies the cumulative proportion of positive outcomes identified by the model as..." 태그: 시각 편집