Introduction Named Entity Recognition (NER) is a natural language processing (NLP) technique that involves identifying and classifying named entities in text. Named entities refer to specific types of words or… Named Entity Recognition (NER)

Introduction Introduction: In the context of binary classification, a true positive refers to a situation where a model correctly predicts a positive outcome when the actual outcome is indeed positive.… True Positive

Introduction An introduction to the confusion matrix: The confusion matrix is a widely used tool in machine learning and statistics to evaluate the performance of a classification model. It provides… Confusion Matrix