What's the difference between logistic regression and perceptron?
Jul 20, 2015 · The logistic regression uses logistic function to build the output from a given inputs. Logistic function produces a smooth output between 0 and 1, so you need one more thing to make it …
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 …
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 …
Boosting A Logistic Regression Model - Cross Validated
Feb 16, 2018 · For example, how to implement adaboost (generally boosting) to boost a logistic regression model? One main difference of classification trees and logistic regression is that 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 to …
Classification XGBoost vs Logistic Regression - Cross Validated
Feb 27, 2019 · Gradient boosting machines (the general family of methods XGBoost is a part of) is great but it is not perfect; for example, usually gradient boosting approaches have poor probability …
r - Performing classification by Gaussian classifier versus logistic ...
Mar 15, 2024 · Performing classification by Gaussian classifier versus logistic regression. When to choose the more indirect regression method? Ask Question Asked 1 year, 8 months ago Modified 3 …
Logistic regression vs. LDA as two-class classifiers
The Bayes prediction of the LDA's posterior class membership probability follows a logistic curve as well. [Efron, B. The efficiency of logistic regression compared to normal discriminant analysis, J Am Stat …
machine learning - If logistic regression is a linear classifier why ...
Jun 28, 2019 · 4 Logistic regression is a linear model, decision boundary generated is linear. If the data points are linearly separable, then why does Logistic regression fail? Shouldn't it perform better on …
is logistic regression only for binary classification?
May 1, 2017 · 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 classification (wikipedia …