Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...

3.Import the Logistic Regression model from sklearn. 4.Train the model using the training dataset. 5.Use the trained model to predict placement for new student data ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

GPT-4.5 is the first LLM to pass the tough three-party Turing test, scientists say, after successfully convincing people it's human 73% of the time. (Image credit: VLADGRIN via Getty Images) Large ...

Abstract: The purpose of this work is to investigate the effectiveness of DensNet and Logistic Regression in terms of accurately predicting the classification of footwear trends.In this study, there ...

1 Department of Mobility and Infrastructure Planning and Management, College of Urban Development and Engineering, Ethiopian Civil Service University, Addis Ababa, Ethiopia 2 Faculty of Civil ...

ABSTRACT: Introduction: Breast cancer is the most common malignancy in women worldwide and constitutes a public health problem in the DRC due to its high morbidity and mortality. Its frequency is ...

Study finds job applicants interviewed by AI agents are 12% more likely to get a job offer, and 78% prefer this approach over human recruiters. The images on Facebook spark outrage, with survivors, ...