Intuit on MSN

How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
IEEE

The Relationships Between the Binary Correlation and Accuracy in Logistic Regression for Predicting Employee Attrition

Abstract: This research paper examines the accuracy of the logistic regression method in predicting employee attrition. Employee attrition is of particular interest to human resources departments due ...
BMJ Open

Early childhood exposure to skin-lightening products in Nigeria: prevalence, maternal perspectives and predictors from a cross-sectional study

Background Increasing reports of life-threatening complications in young children exposed to skin-lightening products present a significant public health concern, yet this issue remains ...
Lupus Science & Medicine

Development and validation of nomograms for predicting activity index and tubulointerstitial lesions in lupus nephritis: a multicentre study

Objective Lupus nephritis (LN) is a prevalent renal manifestation in patients with SLE, with kidney biopsy remaining the gold ...
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 ...