ABSTRACT: The study examined the effectiveness of financial linkages on SMEs’ access to debt finance. The study was motivated by the importance of SMEs in economic development and employment creation ...

Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...

You may have heard about the Inflation Reduction Act (IRA), Congress' largest investment in climate action ever (close to $370 billion). A ton of this cash will be used to help Americans afford home ...

A scientific group led by researchers from German Jordanian University has analyzed the effect of the so-called chimp optimization algorithm (ChOA) on different PV yield production prediction machine ...

Abstract: In the realm of endurance sports, athletes often grapple with the challenge of balancing caloric intake to avoid the dreaded energy depletion phenomenon known as “bonking.” This study delves ...

Great package, I have recently discovered the local linear forest (LLF) and I am impressed. Keep up the good work. I'd like to ask how can I compute the R2 (r-squared ...

R-squared is a popular statistical measure for assessing the goodness-of-fit of a linear regression model. However, R-squared tends to overestimate the performance of a model when additional ...

Linear regression is a statistical method that helps us understand the relationship between two variables by fitting a linear model to the observed data. It allows us to make predictions and determine ...

ABSTRACT: Background: In arid and semi-arid areas, investing in water-related technologies is expected to affect productivity and eventually increase farm incomes. However, there is a limitation of ...