Simple Graphs for Complex Prediction Functions
Simple Graphs for Complex Prediction Functions
- 주제(키워드) Visualization , prediction function , LOESS , neural network model , supportvector machine , random forest.
- 발행기관 한국통계학회
- 발행년도 2008
- 총서유형 Journal
- UCI G704-000420.2008.15.3.003
- KCI ID ART001254293
- 본문언어 영어
초록/요약
By supervised learning with p predictors, we frequently obtain a prediction func-tion of the formy = f(x1;:;x p). When p 3, it is not easy to understand theinner structure off, except for the case the function is formulated as additive. Inthis study, we propose to usep simple graphs for visual understanding of com-plex prediction functions produced by several supervised learning engines such asLOESS, neural networks, support vector machines and random forests.
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