About: Linear predictor function

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In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables (independent variables), whose value is used to predict the outcome of a dependent variable. This sort of function usually comes in linear regression, where the coefficients are called regression coefficients. However, they also occur in various types of linear classifiers (e.g. logistic regression, perceptrons, support vector machines, and linear discriminant analysis), as well as in various other models, such as principal component analysis and factor analysis. In many of these models, the coefficients are referred to as "weights".

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rdfs:label	Linearer Prädiktor (de) Linear predictor function (en)
rdfs:comment	In der Statistik und dort insbesondere in der parametrischen Regressionsanalyse ist ein linearer Prädiktor eine Linearkombination einer Reihe von Koeffizienten (Regressionskoeffizienten) und erklärenden Variablen (unabhängige Variablen), deren Wert zur Vorhersage (Prädiktion) einer Antwortvariablen verwendet wird. Diese additiv-lineare systematische Komponente ist ein Hauptbestandteil von linearen Regressionsmodellen. (de) In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables (independent variables), whose value is used to predict the outcome of a dependent variable. This sort of function usually comes in linear regression, where the coefficients are called regression coefficients. However, they also occur in various types of linear classifiers (e.g. logistic regression, perceptrons, support vector machines, and linear discriminant analysis), as well as in various other models, such as principal component analysis and factor analysis. In many of these models, the coefficients are referred to as "weights". (en)
dcterms:subject	Regression analysis Machine learning
Wikipage page ID	35272263 (xsd:integer)
Wikipage revision ID	1111688654 (xsd:integer)
Link from a Wikipage to another Wikipage	Row vector Scalar (mathematics) Basis function Blood pressure Regression analysis Perceptron Dependent and independent variables Design matrix Dummy variable (statistics) Y-intercept Column vector Conditional probability Matrix inverse Matrix multiplication Gaussian function Machine learning Singular value decomposition Statistics Full rank Machine learning Linear classifier Linear combination Linear discriminant analysis Linear function Linear model Linear regression Logistic regression Factor analysis Normal distribution Principal component analysis Dependent variable Random variable Regularization (mathematics) K-nearest neighbor algorithm Binary variable Blood type Support vector machine Statistical data type Dot product Polynomial Data analyst Method of least squares Independent variable Categorical variable Radial basis function Multicollinearity Discrete variable Polynomial regression Moore–Penrose pseudoinverse Independent variables Indicator variable Matrix transpose Nearest neighbor interpolation Regression coefficient Continuous variable Identifiable Real-valued Error variable Interaction variable Standard normal distribution
sameAs	Linear predictor function Linear predictor function Linear predictor function Linear predictor function Linear predictor function Linear predictor function
dbp:wikiPageUsesTemplate	dbt:Citation_needed dbt:Reflist
has abstract	In der Statistik und dort insbesondere in der parametrischen Regressionsanalyse ist ein linearer Prädiktor eine Linearkombination einer Reihe von Koeffizienten (Regressionskoeffizienten) und erklärenden Variablen (unabhängige Variablen), deren Wert zur Vorhersage (Prädiktion) einer Antwortvariablen verwendet wird. Diese additiv-lineare systematische Komponente ist ein Hauptbestandteil von linearen Regressionsmodellen. (de) In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables (independent variables), whose value is used to predict the outcome of a dependent variable. This sort of function usually comes in linear regression, where the coefficients are called regression coefficients. However, they also occur in various types of linear classifiers (e.g. logistic regression, perceptrons, support vector machines, and linear discriminant analysis), as well as in various other models, such as principal component analysis and factor analysis. In many of these models, the coefficients are referred to as "weights". (en)
gold:hypernym	Function
prov:wasDerivedFrom	wikipedia-en:Linear_predictor_function?oldid=1111688654&ns=0
page length (characters) of wiki page	14167 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Linear_predictor_function
is Link from a Wikipage to another Wikipage of	Multinomial logistic regression Perceptron Response modeling methodology Functional data analysis

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