Some of the common classification models are decision trees, k-nearest neighbors, support vector machines, and neural networks. The choice between regression and classification models depends on ...

Regression models are used to predict a continuous ... and attachments. Some common types of classification models are decision trees, k-nearest neighbors, support vector machines, and neural ...

Abstract: The paper presents how solving regression problems can be posed as finding solutions to multiclass classification tasks ... for training i.e., for tuning the hyperparameters of the models, ...

This repository contains a collection of Python scripts that implement neural network models for both regression and classification tasks using custom-built neural networks and Keras-based networks.

Abstract: One of the challenges in deploying a machine learning model is that the model’s ... active learning methods have been proposed for classification problems, few efforts have been made for ...

In particular, we will motivate the need for GLMs; introduce the binomial regression model, including the most common binomial link functions; correctly interpret the binomial regression model; and ...