The support vector machine (SVM) is employed to investigate the structure-activity relationship (SAR)/quantitative structure-activity relationship (QSAR) of phenethyl-amines based on molecular ...
This project applies Support Vector Machine (SVM) and XGBoost models to two datasets: the Iris Dataset and the Breast Cancer Dataset. The goal is to demonstrate how both classification algorithms ...
This repository implements a fully Quantum Support Vector Machine using variational quantum algorithms. Unlike hybrid classical-quantum approaches, our QSVM performs both feature mapping and ...
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