angelinbeni/SVM_Hyperparameter_optimization
Matlab code for hyperparameter optimization of SVM using Haris Hawks Algorithm
This project helps machine learning practitioners fine-tune Support Vector Machine (SVM) models. It takes your dataset and an SVM model, then automatically finds the best settings (hyperparameters) for that model using the Harris Hawks Optimization algorithm. The output is a more accurate and robust SVM model specifically tailored to your data.
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Use this if you are a machine learning practitioner working in MATLAB and need to optimize your SVM models to achieve better performance on your specific datasets.
Not ideal if you are not using MATLAB or prefer manual hyperparameter tuning, or if you need to optimize machine learning models other than SVMs.
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MATLAB
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Apr 23, 2022
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