IEEE

A Comparative Analysis of Logistic Regression and Random Forest Algorithm for Cyber Attacks Classification

Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Frontiers

Forest-EMCBE: an evolutionary ensemble learning algorithm for multiclass diagnosis of bacterial pneumonia using the CBC dataset

Rapid diagnosis of bacterial pneumonia is crucial for clinical diagnosis and treatment, but traditional methods are time-consuming. The wide application of machine learning techniques in medical ...
Scientific Research Publishing

Sitompul, L.R., Nababan, A.A., Manihuruk, M.L., Ponsen, W.A. and Supriyandi, S. (2025) Comparison of XGBoost, Random Forest and Logistic Regression Algorithms in Stroke Disease ...

ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...
IEEE

Detection of the Ionospheric Disturbances During 2023 Kahramanmaraş Earthquakes Using Random Forests Algorithm

Abstract: In this study, a new approach based on Random Forest algorithm is presented for the detection of earthquake precursors in the ionosphere. Total Electron Content (TEC) data estimated from ...
Yahoo

Klein ISD to implement additional security after 3 unrelated gun incidents in one week

Add Yahoo as a preferred source to see more of our stories on Google. Klein ISD police arrested a student Friday morning for bringing an unloaded handgun onto school grounds after students reported ...