A Comparative Analysis of Machine Learning Algorithms for Urban Traffic Congestion Prediction: The Impact of Hyperparameter Optimization
The tuned RF emerged as the most reliable and robust classifier, offering high predictive accuracy with reduced overfitting risk, and hyperparameter tuning proved particularly beneficial for SVM and KNN, substantially improving their generalization capabilities, while producing minimal changes in already well-optimized...