One vs all classification using Logistic Regression for IRIS dataset

This code is an example for one vs all classification using Logistic Regression on IRIS data

Ahora está siguiendo esta publicación

This code illustrates how one vs all classification can be used using logistic regression on IRIS dataset. This code was part of my assignment, so you can apply many improvements and you can use the code in your own application. The main file for using this code is one_vs_all_log.m, this code will also help you visualize the decision boundary for all three classes using one vs all concept.

Citar como

Sander Khowaja (2026). One vs all classification using Logistic Regression for IRIS dataset (https://la.mathworks.com/matlabcentral/fileexchange/58273-one-vs-all-classification-using-logistic-regression-for-iris-dataset), MATLAB Central File Exchange. Recuperado .

Categorías

Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
1.0.0.0