Residual sum of squares
id:
residual-sum-of-squares-260-7489109
title:
Residual sum of squares
text:
In statistics, the residual sum of squares (RSS), also known as the sum of squared residuals (SSR) or the sum of squared estimate of errors (SSE), is the sum of the squares of residuals. It is a measure of the discrepancy between the data and an estimation model, such as a linear regression. A small RSS indicates a tight fit of the model to the data. It is used as an optimality criterion in parameter selection and model selection. In general, total sum of squares = explained sum of squares + res
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical measure of the discrepancy between data and an estimation model
original url:
https://en.wikipedia.org/wiki/Residual_sum_of_squares
date created:
date modified:
2023-03-01T08:31:11Z
main entity:
{"identifier":"Q15096882","url":"https://www.wikidata.org/entity/Q15096882"}
image:
fields total:
13
integrity:
14