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Topic: "objective-function-optimization"

MUHAMMADAKMAL137/Optuna-based-Hyperparameter-Optimization-for-Machine-Learning-Models-Static-and-Dynamic-Tuning

This Optuna-based hyperparameter optimization study performs both static and dynamic tuning of hyperparameters for machine learning models (SVM, RandomForest, and GradientBoosting) to maximize accuracy. It tracks and analyzes model performance, displays the best trial results, and compares the average performance of each classifier.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gaetanserre/pyGKLS

pyGKLS is a Python wrapper for the GKLS generator of global optimization test functions (Giavano et al., 2003).

Language: C++ - Size: 560 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

amatov/GeneralizedSparrowCriterion

Language: MATLAB - Size: 233 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

amatov/BesselSigmaGaussian

Language: MATLAB - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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