Intellectual Property India Publishes Patent Application for 'Predictive Modeling Of Employee Attrition Using Random Forest And Machine Learning' Filed by New Prince Shri Bhavani College Of Engineering And Technology; Nareshkumar A; Infan Akshey P; Sankareswaran R; and Jansirani D

MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541122400 A) filed by New Prince Shri Bhavani College Of Engineering And Technology; Nareshkumar A; Infan Akshey P; Sankareswaran R; and Jansirani D, Chennai, Tamil Nadu, on Dec. 5, 2025, for 'predictive modeling of employee attrition using random forest and machine learning.'

Inventor(s) include Naresh Kumar A; Infan Akshey P; Sankareswaran R; and Jansirani D.

The application for the patent was published on Feb. 6, under issue no. 06/2026.

According to the abstract released by the Intellectual Property India: "Employee attrition has become a major challenge in organizations as it directly impacts productivity and increases hiring costs. This project aims to predict employee attrition using the IBM HR Analytics dataset by applying data preprocessing, Exploratory Data Analysis (EDA), and Machine Learning algorithms. Random Forest Classifier is used as the primary model, with additional comparison to Logistic Regression for better insights. The project also integrates SMOTE to handle class imbalance and ensures explainability by focusing on . feature importance. The outcome provides HR managers with actionable insights to identify at-risk employees and reduce turnover."

Disclaimer: Curated by HT Syndication.