Abstract: Traditional Support Vector Regression (SVR) Machine acts as approximating a regression function. This paper, however, proposes a novel multi-class classification approach based on the SVR ...

This repository contains code for parameter optimization of Support Vector Machines (SVM) using the Dry Bean Dataset. The dataset is a multi-class classification problem with 17 features and 7 classes ...

James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ... of ...

This repo contains the code to perform a simple image classification task using Python ... are Logistic Regression, Linear Discriminant Analysis, K-Nearest Neighbors, Decision Trees, Random Forests, ...