Browse all content tagged with Evaluation Metrics
Explore recall in machine learning: a crucial metric for evaluating model performance, especially in classification tasks where correctly identifying positive instances is vital. Learn its definition, calculation, importance, use cases, and strategies for improvement.
The ROUGE score is a set of metrics used to evaluate the quality of machine-generated summaries and translations by comparing them to human references. Widely used in NLP, ROUGE measures content overlap and recall, helping assess summarization and translation systems.
Top-k accuracy is a machine learning evaluation metric that assesses if the true class is among the top k predicted classes, offering a comprehensive and forgiving measure in multi-class classification tasks.
