Computer Science
2 years ago

XGBoost Dominates Machine Learning Algorithms with Grid Search Optimization

SISTEMASI
Hyperparameter Tuning on Classification Algorithm with Grid Search
Wahyu Nugraha, Agung Sasongko

Paper Summary

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XGBoost Dominates Machine Learning Algorithms with Grid Search Optimization

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The article discusses using Grid Search to optimize hyperparameters in machine learning classification algorithms. The goal was to find the best hyperparameter settings for 7 different algorithms. By using Grid Search with Cross Validation, the researchers were able to test multiple parameters efficiently. The results showed that the XGBoost model performed the best, while the Decision tree had the lowest performance.