Published Paper


Performance Analysis of World Happiness using Machine Learning Algorithms

Dr. S. Lakshmi
Computer Applications, SRM Institute of Science and Technology, Chennai, Tamilnadu, India
Page: 639-651
Published on: 2024 September

Abstract

Happiness is the ultimate goal of each and every individual. It is very challenging task to define the happiness and measure the happiness since the perception of happiness may differ for everyone. Phycologists are trying to assess the happiness by considering some key signs such as “Feeling satisfied”, “Enjoying the positive and healthy relationship with others”, “Experiencing gratitude”, “Practicing kindness”, “Being with loved ones or friends” and “Willingness to take challenges”. The purpose of this paper is to conduct the study on world happiness report dataset and find out the main features of happiness of the human beings. It has been identified that the GDP per capita is the main factor for happiness. The second choice is the life span of the human being. The GDP and Life expectancy played a major role to decide the happiness score and this could be the general opinion of all human without any doubt and hesitation. Being healthy and wealthy people are all happy in their real life? In this paper, I try to find out answer for this question by considering other factors of the world happiness index dataset. 

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