👉 Appealingness is a concept in information theory and communication science that describes how well an algorithm or system performs on a particular test set. It measures how well the output of the algorithm matches the desired output for a given input, considering both the accuracy of the output and its speed. In the context of machine learning, appealingness refers to the performance of a model in terms of the quality of predictions it makes when applied to unseen data. This is often expressed as an evaluation metric such as accuracy or
