Correspondence to Dr Natalia Khalaf; natalia.khalaf@bcm.edu ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

The SaaS business model offers incredible scalability as well as profitability – but only when paired with the right marketing growth strategy. Knowing that the cost of hosting cloud-based ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Logistic regression is a statistical technique used to ...

The output variable must be either continuous nature or real value. The output variable has to be a discrete value. The regression algorithm’s task is mapping input value (x) with continuous output ...

Introduction: Infertile women are those who regularly engage in unprotected intercourse for a period of at least 1 year and are unable to become clinically pregnant. Primary infertility means the ...

Abstract: By contrasting the effectiveness of Logistic regression with that of the RBF SVM algorithm, the purpose of this study is to determine the usefulness of Logistic regression in the ...