Accuracy
Machine Learning
The proportion of correct predictions made by a model out of all predictions. A basic metric showing overall model performance.
Detailed Explanation
Accuracy in machine learning measures the proportion of correct predictions a model makes out of all predictions, providing a straightforward assessment of overall performance. It is calculated by dividing the number of correct predictions by the total number of predictions. While useful, accuracy can be misleading for imbalanced datasets, where other metrics like precision and recall might give a clearer performance picture.
Use Cases
- •Evaluating a spam filter’s accuracy helps determine how well it correctly classifies emails as spam or legitimate.
Related Terms
Other terms in the Machine Learning category