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  1. 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 …

  2. 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 …

  3. 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 …

  4. 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 …

  5. 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 …

  6. Softmax vs Sigmoid function in Logistic classifier?

    Sep 6, 2016 · 177 The sigmoid function is used for the two-class logistic regression, whereas the softmax function is used for the multiclass logistic regression (a.k.a. MaxEnt, multinomial …

  7. Comparing SVM and logistic regression - Cross Validated

    Mar 17, 2016 · Image signifies the difference between SVM and Logistic Regression and where to use which method this picture comes from the coursera course : "machine learning" by …

  8. 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 …

  9. 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 …

  10. 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 …