이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
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.
인용 양식
Sander Khowaja (2026). One vs all classification using Logistic Regression for IRIS dataset (https://kr.mathworks.com/matlabcentral/fileexchange/58273-one-vs-all-classification-using-logistic-regression-for-iris-dataset), MATLAB Central File Exchange. 검색 날짜: .
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.0.0.0 |
