This project focuses on utilizing logistic regression for the classification of sonar signals into two categories: Rock (R) and Mine (M). The primary objective is to build a predictive model capable ...

The Data Science Lab How to Do Logistic Regression Using ML.NET Microsoft Research's Dr. James McCaffrey show how to perform binary classification with logistic regression using the Microsoft ML.NET ...

We demonstrate the use of classification methods that are well-suited for forensic toxicology applications. The methods are based on penalized logistic regression, can be employed when separation ...

Regression can be used on categorical responses to estimate probabilities and to classify.

It computes various classification and regression metrics and establishes their statistical significance, is modular and easily extendable. Furthermore, it offers interfaces for LIBSVM and LIBLINEAR ...

Introduction This repository presents an analysis of the CIC-Darknet2020 dataset and the use of supervised classification models to classify network traffic flows. Initially, we analyzed the data and ...

From a conceptual point of view, understanding how perceptron classification works is often considered fundamental knowledge for ML engineers, is interesting historically, and contains important ...