Understanding the quality of an automatic classification system is crucial for its acceptance and any attempt to improve it over time. Quality means that we need to look at errors and at the recognition rate. In classification terms these values are called precision and recall. Precision gives the percentage of documents that have been classified correctly with respect … Continue reading Confusion Matrix