How do I evaluate the performance of a machine learning model?
Evaluating the performance of a machine learning model involves using metrics like accuracy, precision, recall, F1 score, ROC curve, and confusion matrix to assess model effectiveness, reliability, generalization capabilities, and identify areas for improvement.
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### Instruction:
How do I evaluate the performance of a machine learning model?

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### Response:
Evaluating the performance of a machine learning model involves using metrics like accuracy, precision, recall, F1 score, ROC curve, and confusion matrix to assess model effectiveness, reliability, generalization capabilities, and identify areas for improvement.<|im_end|>