What is the difference between fitglm and fitclinear?
조회 수: 8 (최근 30일)
이전 댓글 표시
I am creating a logistic regression model on MATLAB which will be a binary classifier (outcome is the label 'good' or 'bad'). I have found what appears to be two functions which can fit a logistic model:
- fitglm()
- fitclinear()
Can someone please help me understand the difference? So far I have been using fitclinear and enjoying it.
Thanks
댓글 수: 0
답변 (1개)
Krishna
2022년 11월 18일
fitclinear trains linear classification models for two-class (binary) learning with high-dimensional, full or sparse predictor data.
For reduced computation time on a high-dimensional data set that includes many predictor variables, you can train a linear classification model by using fitclinear. However, for low- through medium-dimensional predictor data sets, see Alternatives for Lower-Dimensional Data.
You can follow the above chart to get an understanding of how fitglm is used for Logistic regression without regularization.
댓글 수: 0
참고 항목
카테고리
Help Center 및 File Exchange에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기
제품
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!