Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
President Trump is reversing the Biden plan to increase tax revenue through more enforcement. By Ben Blatt The Internal Revenue Service’s audit rate has been lower this decade than in most taxpayers’ ...
##1 Stock_Returns (continuous variable, e.g., percentage returns of a stock). ##2 Investment_Decision (binary variable: 1 if the stock is worth investing in, 0 ...
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
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Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...
Copyright: © 2024 The Author(s). Published by Elsevier Ltd. Segmented (piecewise) regression analysis was used to explore the relationship between two measures of ...
Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana ...
Abstract: Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are ...
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