Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

Multiple logistic regression analysis was performed to check the specificity, sensitivity, and accuracy of the study. Hence, identified risk factors of secondary infertility are mostly modifiable and ...

The use of logistic regression with amino acid sequences classified by cofactor specificity showed that the NADP + -dependent malic enzyme completely switched cofactor specificity to NAD + dependence ...

The purpose of this study is to perform efficient human action recognition utilising novel logistic regression, as compared to linear regression, with improved accuracy. There are a total of 30 ...

Logistic regression is a machine learning technique for binary classification. For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, ...

Using the Logistic Regression technique, estimate the accuracy % of credit card fraudulent transactions. The accuracy percentage of credit card fraudulent transactions was predicted using a novel ...