As different type of machine learning models are available, often model selection methods are used. Why it is important. Can we not select one model based on past experience.
Why are model selection methods needed?
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As different type of machine learning models are available, often model selection methods are used. Why it is important. Can we not select one model based on past experience.
Bablu123
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.