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This canvas implements an Economic Early Warning System that uses machine learning to detect recession risk by analyzing macroeconomic indicators (inflation, unemployment, S&P 500, consumer confidence). The workflow starts with a Python block that generates synthetic economic data, computes a weighted stress score, trains a Random Forest classifier to predict recession risk, and evaluates feature importance—revealing that consumer confidence and unemployment are the strongest predictors—followed by contextual markdown blocks that explain the business impact and key insights for policymakers, businesses, and investors.