Model Interpretability: 편집 역사

2024년 11월 3일 (일)

• 최신이전 00:162024년 11월 3일 (일) 00:16‎ 핵톤 토론 기여‎ 2,575 바이트 +2,575‎ 새 문서: '''Model interpretability''' is the ability to understand or explain how a model performs predictions. It indicates whether a model’s decisions can be explained to humans and how well the reasoning behind them can be communicated. == Interpretability by Model Type == The following list generally starts with models that are considered to have higher interpretability. === Linear Regression === * A simple mathematical model that assigns linear coefficients to each feature,... 태그: 시각 편집