Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
P Sruthi Naeemali Ahamed Pavin shaji Ashid A P | Prof. S Kavitha
Abstract
Supervised Machine Learning Methods Are Described, Demonstrated And Assessed For The Prediction Of Employee Turnover Within An Organization. In Our Project, Numerical Experiments For Real And Simulated Human Resources Datasets Representing Organizations O
Keywords
Machine Learning
Employee Turnover
Random Forest
Logistic Regression
Attrition Rate
Paper ID
IJSARTV9I460404
Publication Date
April 10, 2023
Research Area
Computer Science