In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

patients using popular modified decision tree by using genetic algorithm. Performance analysis of the proposed method is compared against data-mining approach, probability rule base classification; ...

Abstract: Machine-learning methods have become an integral part ... Neural Networks (CNN), Random Forest (RF), Support Vector Machines (SVM), Decision Trees (DT), Gradient Boosting (GB), and Logistic ...

Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been ...

This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...

Dr. Sim said that the new machine algorithm, when applied to bone density scans, could give clinicians more information around the vascular health of patients, which is an under-recognized risk ...