Why do we use logistic regression instead of linear regression?
Using linear regression with this new cost function and a threshold of $0$ would give us exactly the same predictions as logistic regression. So why do we use logistic regression instead of linear …
Why not approach classification through regression?
86 "..approach classification problem through regression.." by "regression" I will assume you mean linear regression, and I will compare this approach to the "classification" approach of fitting a logistic …
classification - Why is logistic regression a linear classifier ...
Logistic regression is neither linear nor is it a classifier. The idea of a "decision boundary" has little to do with logistic regression, which is instead a direct probability estimation method that separates …
Does an unbalanced sample matter when doing logistic regression ...
For example, a model with a single categorical predictor variable with two levels can only fit a logistic regression model with two parameters (one for each category), even if there are millions people in …
Logistic regression vs. LDA as two-class classifiers
I am trying to wrap my head around the statistical difference between Linear discriminant analysis and Logistic regression. Is my understanding right that, for a two class classification problem, LDA
What is the "binary:logistic" objective function in XGBoost?
That's correct. The expression you cite takes the role of the linear predictor in logistic regression.
An example: LASSO regression using glmnet for binary outcome
I am starting to dabble with the use of glmnet with LASSO Regression where my outcome of interest is dichotomous. I have created a small mock data frame below: age <- c(4, 8, 7, 12, 6, 9, 1...
Logistic Regression for non-binary classification (multi-class) in R
I know that logistic regression is used in R for binary classification and as a result it outputs the probabilities for the predicted value being either 0 or 1.
What's the difference between logistic regression and perceptron?
Jul 20, 2015 · After doing that, we can use the Perceptron model for classification. So my question is - if this needs to be specified and we consider Perceptron as a classification technique, then what …
Why isn't Logistic Regression called Logistic Classification?
Dec 8, 2014 · 121 Since Logistic Regression is a statistical classification model dealing with categorical dependent variables, why isn't it called Logistic Classification? Shouldn't the "Regression" name be …