The evaluation of the machine learning models using the Kappa accuracy metric indicated that the Artificial Neural Network (ANN) was the most effective classification algorithm among all inputs types ...

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

Deepening Our Understanding of Artificial Intelligence: From Machine Learning to Generative AI, Large Language Models, and Beyond Created by Vaishnavi Visweswaraiah Updated: Oct 18 2023, 04:17 AM EDT ...

The aim of this study was to investigate the contribution of machine learning Classification and Regression Tree (CART) models for the multiclass classification of lymphomas, glioblastomas and ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Our review shows that both UML and machine learning have had a positive impact on SAD, with UML improving communication and documentation, and machine learning improving the accuracy of predictions.