During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Joshi, R.D. and Dhakal, C.K. (2021) Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches. International Journal of Environmental Research and Public Health, 18, Article ...

This research presents a hybrid framework combining machine learning and cryptographic techniques for privacy-preserving spam email classification. Logistic Regression (LR) and Support Vector Machines ...

In this context, the use of machine learning methods, such as logistic regression and other classification algorithms, might potentially be advantageous. This research aims to identify some noteworthy ...

Overview This project implements a machine learning-based approach for breast cancer detection using two different classification algorithms: Decision Tree and Logistic Regression. The study compares ...