1 publication

• Published Subscription Review Article 30 Apr 2026

  Comparison of Models of Machine Learning and Hyperparameter optimization methods on various datasets

  By Naviya Shetty, Anuja Shinde, Shiksha Dubey

  Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameters tuning step. The traditional exhaustive methods of search (Grid Search and others) ensure that the search space is covered, but are computationally very inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian Optimization, Tree-structured Parzen Estimator (TPE), Genetic Algorithms) are thought to …

  Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article →