Therefore, researchers must understand the metrics used to evaluate ML models which can influence the critical interpretation of results. In this review we provide an overview of ML metrics for ...

The class-imbalance issue is intrinsic to many real-world machine learning tasks, particularly to the rare-event classification problems. Although the impact and treatment of imbalanced data is widely ...

This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based ...

Article Figures & Tables Related Content Responses Metrics PDF KEY POINTS Evaluation of machine-learned systems is a multifaceted process that encompasses internal validation, clinical validation, ...

Conventional metrics used to evaluate stocks may not apply to technology stocks. We used machine-learning techniques to analyze the associations between over a hundred financial metrics and ...

Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation Zhong Zhao 1 ; ...