Challenges in Binary Classification

arXiv:2406.13665v1 Announce Type: new
Abstract: Binary Classification plays an important role in machine learning. For linear classification, SVM is the optimal binary classification method. For nonlinear classification, the SVM algorithm needs to complete the classification task by using the kernel function. Although the SVM algorithm with kernel function is very effective, the selection of kernel function is empirical, which means that the kernel function may not be optimal. Therefore, it is worth studying how to obtain an optimal binary classifier. …

abstract algorithm arxiv binary challenges classification cs.lg function important kernel linear machine machine learning role svm type