stepwise regression - significado y definición. Qué es stepwise regression
Diclib.com
Diccionario ChatGPT
Ingrese una palabra o frase en cualquier idioma 👆
Idioma:     

Traducción y análisis de palabras por inteligencia artificial ChatGPT

En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:

  • cómo se usa la palabra
  • frecuencia de uso
  • se utiliza con más frecuencia en el habla oral o escrita
  • opciones de traducción
  • ejemplos de uso (varias frases con traducción)
  • etimología

Qué (quién) es stepwise regression - definición


Stepwise regression         
METHOD OF STATISTICAL FACTOR ANALYSIS
Forward selection; Backward elimination; Unsupervised forward selection; Unsupervised Forward Selection; Stagewise regression; Step-wise regression; Stepwise Regression
In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure.Efroymson,M.
Software regression         
SOFTWARE BUG THAT BREAKS PREVIOUSLY WORKING FUNCTIONALITY
Regression bugs; Regression bug; Regression (programming); Regression detection; Bug regression; Software performance regression
A software regression is a type of software bug where a feature that has worked before stops working. This may happen after changes are applied to the software's source code, including the addition of new features and bug fixes.
Nonparametric regression         
  •  Example of a curve (red line) fit to a small data set (black points) with nonparametric regression using a Gaussian kernel smoother. The pink shaded area illustrates the kernel function applied to obtain an estimate of y for a given value of x. The kernel function defines the weight given to each data point in producing the estimate for a target point.
CATEGORY OF REGRESSION ANALYSIS
Nonparametric multiplicative regression; Non-parametric regression; Nonparametric Regression
Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. That is, no parametric form is assumed for the relationship between predictors and dependent variable.