Visual Analytics Tool

Visual analytics tools are increasingly used to improve the understanding and trust in complex machine learning models, particularly in domains like large language models, energy forecasting, and multi-class classification. Current research focuses on developing interactive interfaces that enable users to explore model performance, identify biases and errors (e.g., through visualization of misclassifications and spurious associations), and compare different models effectively, even those with a high number of classes or complex input variables. These tools are crucial for enhancing model interpretability, facilitating informed decision-making, and ultimately building more reliable and trustworthy AI systems across various scientific and practical applications.