Understanding Precision@K and Recall@K Metrics

#recommendations #machinelearning #evaluation
Precision at k (P@k) and Recall at k (R@k) are metrics used in information retrieval and machine learning to evaluate the performance of a ranking model or system. These metrics help understand how well the top k results are performing in relevance.

Research Paper Summaries:    • Simple Unsupervised Keyphrase Extract...  

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I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 4+ years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).