This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper explores the ...

Add a description, image, and links to the multiple-logistic-regression topic page so that developers can more easily learn about it ...

Thereafter, multiple logistic regression analysis with forward model selection was conducted to determine whether gender, BMI, exercise participation, and problematic smartphone use (PSU) were ...

Types of Logistic Regression: Binary Logistic Regression Only two possible outcomes (Category). Example: The person will buy a car or not. Multinomial Logistic Regression More than two Categories ...

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The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.