Prediction of Environmental Earth Surface Temperature using hybrid machine learning model

Global warming increasingly became a research topic of high importance that have attracted attention of many scientists worldwide. According to the annual 2020 global climate report, global yearly temperature has increased 0.08C per decade since 1880. In this study, the global earth temperature has been analyzed including temperature records since 1850. And it has been observed that globally the average temperature has increased by almost 10C degrees in the last century. Also, this study developed a model for temperature prediction using linear regression and random forest regression. Also, the study reflected its finding on Saudi Arabia and found over 3C degrees over the last 100 years. The proposed models achieved accuracies 99.52 % and 99.58 %, respectively, with mean square error 0.28 and 0.24.