AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Polymarket will act as a clearinghouse for DraftKings’ upcoming prediction market platform, following its acquisition of Railbird earlier this week. American sports betting platform DraftKings is ...
Introduction: This work presents a machine learning (ML) based risk prediction model for Alzheimer's disease and related dementias, utilizing real-world electronic health record (EHR) clinical data.
Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...
Abstract: This work explores student's academic performance using decision tree algorithm having parameters like Student's Academic Information and Students Activity. We collected records of 22 ...
The Senior Citizens League (TSCL) is maintaining its projection that Social Security recipients will see a 2.7 percent cost-of-living adjustment (COLA) to their benefits next year. More than 70 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...
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