model accuracy

Model accuracy measures how well a machine learning model correctly predicts or classifies data compared to actual results. It's calculated as the percentage of correct predictions out of all attempts. For example, if a model correctly predicts 90 out of 100 cases, its accuracy is 90%. While high accuracy indicates good performance, it doesn't reflect how the model handles specific types of errors or rare cases. Therefore, accuracy is one useful metric but should often be considered alongside others to fully evaluate a model's effectiveness in real-world situations.