博客 > 人工智能&数据科学 > 通用算法和模型 > 分类算法
# Logistic回归 ## 单位阶跃函数和Sigmoid ![a31167f73734c62ede86c669f0dc70bd.png](/resources/96244f85b1c642158a68c65105cd3aed) ![827c3286f26b9839771d19e3311c1ce1.png](/resources/84280d7e81584739bd4bb38e02d7b63c) ## 平面二分类任务 ![a37598a92069794dc0a244cca9057de6.png](/resources/fea388b24d254f4fb4c01548a1a3bc9c) ![be932518f96907473fc35033d5e16010.png](/resources/6f36caa7b8de4c5c98ccef23025d5176) ![76db3a1c9628b79866fcb5a2499a656a.png](/resources/b972b3f56aab41d191c5ba88e5aa2213) ![9239f086d00aeaa4bf49fa7b5e513cf9.png](/resources/17c20ab30951495da5591114ecc23fc2) ![10f32f7433d0760d62ba26b7006044e1.png](/resources/15e6e553b9ec4b32a73d4acab6fef48d) ![624b9ab82c57cee28b9349c7d99507bc.png](/resources/fb0a49cb8b2f4f5387586c085026e5df) ## 高维二分类任务 ![8522b510855bc427bfc80c08ac377698.png](/resources/fe4923de45b444638813280e80bdb870) ![1ec52394759f7b7bda993505aa2a067a.png](/resources/38566f7fdb3442bd962de5687a792e63) ![62d7dbd7cefe29f699d915827657a9f7.png](/resources/87741f1fc59a417f965e7dc99cb73663) ## 多分类任务 ![205b064b9144fbdfeae05f9572150e7c.png](/resources/92c88216122149e280349031600049c0) ![4a7071f1a491dc1b8c3b12f1031a3d3f.png](/resources/7c420e2d8460434c9e63189fce113a62) ![6889d422d2355ac06f228b841e5d1b7d.png](/resources/abe68a81c8874484a5a9ff544439b3a9) ![fe2b8ace6a64c2ceec25a11fa96b1876.png](/resources/68c0a3af1d734eaf9ee9c545cc1c597e) ![51c75e58e2f3a52fdcd4dc64b2abf9af.png](/resources/10647f2514d24cc98ea13add94b5e73d) ## 类别不平衡问题 - 欠采样(抽样/Bagging)拥有过多样本的类别 - 过采样(插值、重复)拥有过少样本的类别 - 阈值移动:将正负类分界线由$\frac12$变更为$\frac{m^+}{m^++m^-}$