Data Science preguntas y respuestas de entrevista
Question: What is the purpose of the term 'confusion matrix' in classification?Answer: A confusion matrix is a table that evaluates the performance of a classification model by presenting the counts of true positives, true negatives, false positives, and false negatives. It is useful for assessing model accuracy, precision, recall, and F1 score.Example:
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