Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML ...

Machine learning models analyze complex patterns within medical datasets, enabling precise prediction and classification of diseases like CHD [14]- [18]. This study explores the application of three ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

The most robust machine learning (ML) method for nonlinear data classification, called support vector machines (SVMs), has been used for the classification of faults in intricate industrial processes.

The support vector machine (SVM) is a powerful binary classification tool with high accuracy and great flexibility. It has achieved great success, but its performance can be seriously impaired if many ...

Keywords: support vector machines (SVMs), classification, distance-based kernel, kernel method, machine learning, supervised learning Citation: Amaya-Tejera N, Gamarra M, Vélez JI and Zurek E (2024) A ...