Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine learning ...

Next Day Rain Prediction Using Logistic Regression, Confusion Matrix, and Machine Learning Data Information This project comprises about 10 years of daily weather observations from numerous locations ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Keywords: migraine triggers, migraine phases, migraine types, logistic regression, support vector machine, random forest, neural networks Citation: Reddy A and Reddy A (2025) Migraine triggers, phases ...

Conclusion Machine learning methods show promise in the prediction of prognosis (specifically functioning, relapse and remission) of mental disorders based on relevant collected variables. Future ...

This study aims to compare machine learning and deep learning to enhance model performance by adding and aiding some hyperparameters. This increases the model’s efficiency by following some techniques ...

Logistic Regression is a fundamental machine learning algorithm used for binary classification tasks. In the context of lung cancer prediction, Logistic Regression analyzes the relationship between ...