In statistics the mean squared prediction error or mean squared error of the predictions of a smoothing or curve fitting procedure is the expected value of the squared difference between the fitted values implied by the predictive function and the values of the (unobservable) function g. It is an inverse measure of the explanatory power of and can be used in the process of cross-validation of an estimated model. If the smoothing or fitting procedure has projection matrix (i.e., hat matrix) L, which maps the observed values vector to predicted values vector via then
Attributes | Values |
---|---|
rdf:type | |
rdfs:label |
|
rdfs:comment |
|
dcterms:subject | |
Wikipage page ID |
|
Wikipage revision ID |
|
Link from a Wikipage to another Wikipage |
|
Link from a Wikipage to an external page | |
sameAs | |
dbp:wikiPageUsesTemplate | |
has abstract |
|
prov:wasDerivedFrom | |
page length (characters) of wiki page |
|
foaf:isPrimaryTopicOf | |
is Link from a Wikipage to another Wikipage of | |
is Wikipage redirect of | |
is Wikipage disambiguates of | |
is foaf:primaryTopic of |