IEEE

An Innovative Method to Predict the Accuracy of Phishing Websites by Comparing Logistic Regression Algorithm with Support Vector Machine Algorithm

Abstract: To compare novel LR with the SVM technique to estimate the precision of phishing websites. Materials and Methods: The SVM method's algorithm for supervised learning (N = 20) is compared to ...
Scientific Research Publishing

Kulkarni, S.A., Gurupur, V.P. and King, C. (2022) Impact Analysis of Stacked Machine Learning Algorithms Based Feature Selections for Deep Learning Algorithm Applied to ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
Frontiers

Machine learning-based coronary heart disease diagnosis model for type 2 diabetes patients

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
IEEE

Thread User Sentiment Analysis Based on Text Using LGBM, SVM, and Logistic Regression Algorithm

Abstract: Social media is growing rapidly as a medium for online communication. Through social media, users can share opinions, stories or other things. The messages shared tend to have various ...