Evaluation Metrics and Statistical Tests for Machine Learning

Evaluation metrics and statistical tests for machine learning

Research on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML models and compare them with each other. Here, we introduce the most common evaluation metrics used for the typical supervised ML tasks including binary, multi-class, and multi-label classification, regression, i…

AI and Machine Learning The Future of Business Decision-Making

Artificial Intelligence (AI) and Machine Learning (ML) can now be considered imperative components of contemporary technology and business practices, especially with the evolution of the internet and the utilization of data. These technologies facilitate the transformation of information, data prediction, and critical decision-making at every organizational level to reshape business optimization and overhaul customer relations. As businesses con…