Understanding Precision@K and Recall@K Metrics
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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 Extraction u...
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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).