单变量
成对比较
计算机科学
变量(数学)
广义加性模型
理论计算机科学
算法
人工智能
数学
机器学习
多元统计
数学分析
作者
Yin Lou,Rich Caruana,Johannes Gehrke,Giles Hooker
标识
DOI:10.1145/2487575.2487579
摘要
Standard generalized additive models (GAMs) usually model the dependent variable as a sum of univariate models. Although previous studies have shown that standard GAMs can be interpreted by users, their accuracy is significantly less than more complex models that permit interactions.
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