https://terms-en.ai-term-hub.com/zh/tags/imbalanced-data/Recent content in Imbalanced Data on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/cost_sensitive_machine_learning/Sat, 18 Jul 2026 11:11:39 +0000https://terms-en.ai-term-hub.com/zh/terms/cost_sensitive_machine_learning/<h2 id="definition">Definition</h2> <p>代价敏感机器学习通过为不同类型的错误分配不同的惩罚来扩展传统的监督学习。在现实场景中，假阳性和假阴性往往具有不同的后果&hellip;</p> <h3 id="summary">Summary</h3> <p>一种将误分类代价纳入训练过程的机器学习范式，旨在优化经济影响而非仅仅追求准确率。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>损失函数修改</li> <li>类别不平衡</li> <li>误分类代价</li> <li>优化目标</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>银行欺诈检测</li> <li>医学疾病筛查</li> <li>高假阳性代价的垃圾邮件过滤</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E4%B8%8D%E5%B9%B3%E8%A1%A1%E5%AD%A6%E4%B9%A0-imbalanced-learning/">不平衡学习 (Imbalanced Learning)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E7%B2%BE%E7%A1%AE%E7%8E%87-%E5%8F%AC%E5%9B%9E%E7%8E%87%E6%9D%83%E8%A1%A1-precision-recall-tradeoff/">精确率-召回率权衡 (Precision-Recall Tradeoff)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/roc-%E6%9B%B2%E7%BA%BF-receiver-operating-characteristic-curve/">ROC 曲线 (Receiver Operating Characteristic Curve)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E5%8A%A0%E6%9D%83%E6%8D%9F%E5%A4%B1-weighted-loss/">加权损失 (Weighted Loss)</a></li> </ul>