PREDICTION OF HAPPINESS INDEX USING AT-SCALE MODEL
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Happiness is an abstract experience felt by human beings. Humans desire happiness. The World Health Organization has developed parameters for the basis of happiness – the values of these parameters are put together to obtain Happiness Index – a statistic that is used to rank Countries. This paper deals with the fundamental types of happiness, how they are attained, the parameters as defined by World Health Organization, and the possible prediction of the parameters using, among others, the Prophet algorithm. The dataset used is the Happiness data for countries in the world from the year 2005 to 2022. The same is compared with LSTM with Neural Network.
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