Why isn't Logistic Regression called Logistic Classification?
Dec 8, 2014 · 120 Since Logistic Regression is a statistical classification model dealing with categorical dependent variables, why isn't it called Logistic Classification? Shouldn't the …
Is Logistic Regression a classification or prediction model?
Jun 30, 2023 · Explicitly, a logistic regression does no classification, instead returning predicted probabilities of event occurrence. However, the machine learning terminology seems to refer …
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 …
is logistic regression only for binary classification?
May 1, 2017 · 0 Multinomial logistic regression can be used to do multi class classification. In addition, we can always use "one vs. rest" to turn binary classification to multi class …
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.
Probability threshold in ROC curve analyses - Cross Validated
Nov 11, 2023 · When conducting a logistic regression analysis in SPSS, a default threshold of 0.5 is used for the classification table. Consequently, individuals with a predicted probability < …
machine learning - Logistic Regression on multiple classes …
Apr 28, 2022 · Multinomial logistic regression is still logistic regression. And one-versus-rest classification is another common way to extend a binary classifier to multiple classes. See the …
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 …
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, …
machine learning - Classification XGBoost vs Logistic Regression ...
Feb 27, 2019 · 13 I have a binary classification problem where the classes are slightly unbalanced 25%-75% distribution. I have a total of around 35 features after some feature engineering and …