Meta Feature

Meta-features are descriptive characteristics of datasets or machine learning models used to predict algorithm performance or identify challenging data instances. Current research focuses on developing effective meta-feature representations, employing machine learning models (like linear mixed-effect models and convolutional neural networks) for algorithm selection and performance prediction, and using them to analyze model errors and improve model interpretability. This work is significant because it enables automated algorithm selection, facilitates more efficient model development, and provides insights into model behavior and limitations, ultimately leading to improved machine learning practices across various applications.