Authors - Deepak Mane, Ashwanth Nair, Nihar Gundale, Om Khamkar, Tanmay Kulkarni, Ranjeet Bidwe, Amol Kamble, Suraj Sawant Abstract - There many areas in which the organization can make use of technologies that will make decision making easy. ai (artificial intelligence) is one of the most useful and innovative technologies that is used in many fields of organization to help in business management and decision making. in the recent years, HR department has became very important in the organization, since the quality and skills of the worker in directly proportional to the performance of the organization. After ai is being used in many ways in the organization like in marketing and sales department, now its starting to guide HR department for employee related decision. The purpose of using ai in HR department in to support decision that are based on objective data analysis, not on subjective aspects. The goal of this work is to analyse influence on employee attrition and objective factors. In order to identify the main causes that contribute to a workers decision to leave a company, and identify the employee that about to leave a company. After training, the obtained model for the prediction of employs attrition is tested on real dataset provided by IBM analytics, which has 35 features and about 1500 samples. Results are obtained in terms of classical metrics and the algorithm that produced the best results of the dataset is the gaussian naïve bayes classifier. It has best recall rate of 0.54, since it measures the ability of classifier to achieves an overall false negative rate equal to 4.5% of the total observations.
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