Comparative Evaluation of Hyperparameter Optimization Strategies for k-Nearest Neighbors over Mixed Domain Search Spaces
k-Nearest Neighbors (KNN) remains a strong baseline due to its simplicity, interpretability, and non-parametric structure; however, its predictive performance is highly sensitive to interacting hyperparameters. This paper studies search-constrained hyperparameter optimization for KNN over a mixed search space comprisin...