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Regression Trees
Regression Trees

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!!! Overview
[{$pagename}] analysis (or of continuous outcomes) is when the [Predictor variable] can be considered a real number (e.g. the price of a house, or a patient's length of stay in a hospital).
Given a [Predictor variable] x and a response [variable] y, we fit a straight line to this [data] that minimizes the distance—most commonly the average squared distance—between the sample points and the "fitted" line. We can now use the intercept and slope learned from this data to predict the outcome [variable] of new [data]
!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]
This page (revision-1) was last changed on 29-Nov-2024 16:16 by UnknownAuthorTop