Machine Learning 面接の質問と回答
Question: What is the purpose of a confusion matrix in the context of classification?Answer: A confusion matrix is a table that summarizes the performance of a classification algorithm. It shows the number of true positives, true negatives, false positives, and false negatives, providing insights into the model's accuracy, precision, recall, and other metrics. |
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