The impact of <scp>COVID</scp> ‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe

Unemployment remains a major cause for both developed and developing nations, due to which they lose their financial economic impact as whole. rate prediction achieved researcher attention from fast few years. The intention of doing our research is examine the coronavirus on unemployment rate. Accurately predicting stimulating job policymakers, plays an imperative role in country's development planning. Classical time series models such ARIMA advanced non-linear methods be previously hired prediction. It known us that mostly these data sets are well non-stationary. Consequently, random error can produced by distinct model. Our considers hybrid approaches supported linear preserve forecast rates much precisely. These advance estimates reproducing ratio irregularity. models' appliance exposed six statistics Europe's selected countries, specifically France, Spain, Belgium, Turkey, Italy Germany. Among models, ARIMA-ARNN forecasting model performed Turkey Germany, whereas ARIMA-SVM outclass Spain Italy. Furthermore, used best future Results show will higher coming years, consequence coronavirus, it take at least 5 years overcome COVID-19 countries.