# Model Selection Task

A Model Selection Task is a selection task that ...

**Context:**- It can be solved by a Model Selection System (that applies a model selection algorithm).
- It can range from being a Classification Model Selection Task to being a Ranking Model Selection Task to being a Estimation Model Selection Task.

**See:**Statistical Model, Design of Experiments, Minimum Message Length, Statistical Model Selection.

## References

### 2015

- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/model_selection Retrieved:2015-7-18.
**Model selection**is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre-existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is well-suited to the problem of model selection. Given candidate models of similar predictive or explanatory power, the simplest model is most likely to be the best choice.^{[1]}Konishi & Kitagawa (2008, p.75) state, "The majority of the problems in statistical inference can be considered to be problems related to statistical modeling". Relatedly, Sir David Cox (2006, p.197) has said, "How [the] translation from subject-matter problem to statistical model is done is often the most critical part of an analysis".

- ↑ This follows directly from formal expressions of Occam's Razor such as Minimum Message Length and others.

### 2011

- (Sammut & Webb, 2011) ⇒ Claude Sammut, and Geoffrey I. Webb. (2011). “Model Selection.” In: (Sammut & Webb, 2011) p.683

### 2009

- http://www.nature.com/nrg/journal/v5/n4/glossary/nrg1318_glossary.html
- MODEL SELECTION The process of choosing among different models given their posterior probability.