Support Vector Regression vs. Linear Regression - Cross Validated
Dec 5, 2023 · Linear regression can use the same kernels used in SVR, and SVR can also use the linear kernel. Given only the coefficients from such models, it would be impossible to …
regression - What does it mean to regress a variable against …
Dec 21, 2016 · Those words connote causality, but regression can work the other way round too (use Y to predict X). The independent/dependent variable language merely specifies how one …
regression - Why do we say the outcome variable "is regressed …
Apr 15, 2016 · In its core, linear regression amounts to orthogonal projection of y y on (onto) X X, where y y is the n n -dimensional vector of observations of the dependent variable and X X is …
What is the lasso in regression analysis? - Cross Validated
Oct 19, 2011 · LASSO regression is a type of regression analysis in which both variable selection and regulization occurs simultaneously. This method uses a penalty which affects they value …
Why Isotonic Regression for Model Calibration?
Jan 27, 2025 · 1 I think an additional reason why it is so common is the simplicity (and thus reproducibility) of the isotonic regression. If we give the same classification model and data to …
How should outliers be dealt with in linear regression analysis ...
What statistical tests or rules of thumb can be used as a basis for excluding outliers in linear regression analysis? Are there any special considerations for multilinear regression?
Newest 'regression' Questions - Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Why do we need so many dummy variables in a regression with …
Oct 25, 2022 · Why do we need so many dummy variables in a regression with categorical predictor? Why not use binary encoding instead of one-hot encoding? Ask Question Asked 3 …
How to choose reference category of predictors in logistic …
Feb 1, 2024 · I am struggling to decide which reference category I should define in my logistic regression model. When I define "mandatory school" as a reference in the variable …
Why use linear regression instead of average y per x
Mar 23, 2017 · Wow. So why bother going through the linear regression formulas if you can just divide the mean of y with the mean of x?