Prediction of BMI Using Predictive Analytics
Authors/Creators
- 1. Student, Department of MCA Bharti Vidyapeeth Institute of Management, Kolhapur, India.
- 2. Professor, Department of MCA Bharti Vidyapeeth Institute of Management, Kolhapur, India.
Description
Predictive analytics is the latest technology in which statistical and analytics data techniques are used for making predictions. Predictive analytics use the technologies like statistics, machine learning, and data mining. It has base of classical statistical method. With the help of predictive analytics, the future outcomes can be predicted. A score is given by predictive analytics models. A higher score means higher instance of an event and a lower score means the lower instance of an event. With the help of predictive analytics many business problems are solved. The models help to identify the risks and opportunities of individual customer, employee or manager of an organization. In this paper, I will present a BMI calculation prediction using height and weight of the persons and Body Mass Index is calculated and the outcomes are given like Underweight, Healthy Person, Overweight, Obesity.
Files
Ms. Shriya et al.pdf
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