Objectives We aimed to understand the factors affecting psychological well-being of patients undergoing haemodialysis (HD). First, we explored how physical symptom severity, emotional distress and ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet ...

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 ...

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...

This project aims to classify human actions based on daily activities using a custom Logistic Regression model. The model is implemented from scratch, providing a clear understanding of the underlying ...

Background: Artificial intelligence (AI)-enhanced electrocardiogram (ECG) models are often designed to detect specific anatomical and functional cardiac abnormalities. Understanding the selectivity of ...

1 Departments of Computer Sciences, Nasarawa State University, Keffi, Nigeria. 2 Departments of Computer Sciences, University of Jos, Jos, Nigeria. Due to the rapid development of logistic industry, ...