adaboost
The Adaboost method for creating a strong binary classifier from a series of weak classifiers
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adaboost
The Adaboost method for creating a strong binary classifier from a series of weak classifiers is implemented in this project. We use decision stumps as our weak classifiers. Classification results are shown for some synthetic datasets and the MNIST dataset containing images of digits.
Usage
Refer question 1 from the file hw4.pdf. All subparts have been implemented. Run /code/myMainScript.m to generate the results for the subparts sequentially. The function descriptions are provided in the respective files.
Cite As
niranjantdesai (2026). adaboost (https://www.mathworks.com/matlabcentral/fileexchange/57176-adaboost), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.1.0.0 (11.9 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1.0.0 | Added train-images.idx3-ubyte |
||
| 1.0.0.0 |
