LAUSR

Abstract In monetary policy, the economic Recession marks the Gross Domestic Product (GDP) in a disappointing period, usually introduced in the form of redundant and nonlinear. Are difficult to predict and became one of the fundamental problems of macroeconomic forecasting. This exemplary model will be incredibly frustrating accidents. The purpose of this method is to provide an alternative method to measure the economic program of old-fashioned. However, the method is mutual and instructions on Machine Learning (ML) methods to improve transient accuracy. For context analysis, the Goal will use the information GDP, Italy and several relevant factors. Specifically, Goal will assess the integrity of the attacks. These attacks will determine the model of the Italian GDP Survey recommendations. Have to calculate based on macroeconomic factors for the period. Also, consider using the results of comparable data set by the classical linear regression model. Facts and ML methods can predict currency devaluation and nerve tissue and confuse the AI framework to improve accuracy.