Model Performance

Model performance refers to the effectiveness of a machine learning model in making accurate predictions or classifications based on input data. It is typically evaluated using metrics such as accuracy, precision, recall, and F1 score, which help assess how well the model generalizes to unseen data. Understanding model performance is crucial for determining the reliability and validity of the model's outputs.