The goal of this code is to explore how different kernels affect the classifier’s performance. Specifically the linear and RBF (Radial Basis Function) kernels. The code involves generating data, ...

Abstract: This paper focuses on imbalanced dataset classification problem by using SVM and oversampling method. Traditional oversampling method increases the occurrence of over-lapping between classes ...

This project demonstrates binary classification using Support Vector Machines (SVM) in Python. A custom modular class has been created to manage training, evaluation, and visualization. The notebook ...

Abstract: This paper proposes a local linear multi-SVM method based on composite kernel for solving classification tasks in gene function prediction. The proposed method realizes a nonlinear ...

Credit applicants are assigned to good or bad risk classes according to their record of defaulting. Each applicant is described by a high-dimensional input vector of situational characteristics and by ...