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
ダウンロード: 873
更新 2016/7/17

ライセンスの表示

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.

引用

Sander Khowaja (2024). One vs all classification using Logistic Regression for IRIS dataset (https://www.mathworks.com/matlabcentral/fileexchange/58273-one-vs-all-classification-using-logistic-regression-for-iris-dataset), MATLAB Central File Exchange. 取得済み .

MATLAB リリースの互換性
作成: R2016a
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux
カテゴリ
Help Center および MATLAB AnswersStatistics and Machine Learning Toolbox についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
バージョン 公開済み リリース ノート
1.0.0.0