Predicting Happiness Score during Covid-19 Using Machine Learning

ABSTRACT

The COVID-19 pandemic has been a bad dream for many people. People suffered from job losses, leading to a low level of happiness. Happiness is the key to a healthy life, and predicting the happiness score of 156 countries will give the idea of a happiness index around the world during the COVID-19 pandemic. An open dataset of the happiness index has been picked from the World Happiness Report, which is manifested already in a United Nations conference. The available dataset splits into training data and testing data, respectively. The training data have fitted into different machine learning algorithms. After that, the prediction score has observed based on testing data. After applying a large number of algorithms, the highest accuracy of the resulting regression model is 97 percent. © 2022 IEEE.