The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Abstract: In this article, we extend the popular supervised learning technique radial basis function network (RBFN) for regression modeling based on fuzzy responses ...

AI Preview users have noticed OneDrive's AI-driven face recognition setting is opt-out, and can only be turned off 'three times a year' AI Microsoft launches Copilot AI function in Excel, but warns ...

ABSTRACT: This paper applies the novel adaptive learning methodology to forecast agricultural and energy prices in Greece’s volatile, data-scarce markets. We combine traditional ordinary least squares ...

In order to improve bearing capacity and service life of marine structure using marine UHPC with coarse aggregate (UHPC-CA), it is necessary to reasonably predict the performance of UHPC-CA. The ...

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...

Have you ever found yourself staring at a massive Excel spreadsheet, wondering how to pull the right information from multiple columns without losing your mind? If so, you’re not alone. Whether you’re ...

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 ...

ABSTRACT: The purpose of the current study was to assess the factors contributing to persistence of food insecurity in Gairo district. The study adopted cross sectional research design with which the ...