Random forest
An ensemble machine-learning method that averages predictions from multiple decision trees grown on bootstrap data samples with random subsets of predictors.
Source: Does Earnings-Call Climate Exposure Improve Machine-Learning Forecasts of Stock Downside Risk? Out-of-Sample Evidence from U.S. Firms (Academic research) · p.4
Reports that mention Random forest
- Buy Now, Pay Later: An AI and Machine Learning-Based Analysis of Its Influence on Youth Spending Behaviour and Financial Decision-MakingAcademic research
- Explainable Artificial Intelligence (XAI) in the Banking Sector: A Review of Techniques for Transparent Credit, Fraud and Compliance DecisionsAcademic research
- Forecasting the Global Aviation Industry Index with Machine Learning MethodsAcademic research
- Predictive Analytics for Credit Risk Assessment: A Machine Learning Approach to Loan Default PredictionAcademic research
- Machine Learning for Money Laundering AnalysisAcademic research
- Comparative Evaluation of Machine Learning Models for Credit Card Approval Prediction Using Class Imbalance Handling MethodsAcademic research
- Beyond Accuracy: A Multi-Dimensional Explainability and Model-Risk Framework for AI-Based Credit Decisions in BankingAcademic research
- Early Warning System for Non-Performing Loans Using Random Forest and Explainable AI ApproachAcademic research
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