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A tech company has trained a model to classify products in a manufacturing line as defective or non-defective. To assess the model’s performance on unseen data, the team requires a metric that provides insights into its accuracy and ability to differentiate between the two categories
Which metric should be used?
Words are important here. You claim the correct answer is Confusion Matrix…
A Confusion Matrix is NOT a metric.
In fact, the first six words in YOUR explanation is “A <strong style=”font-family: inherit; font-size: inherit;”>Confusion Matrix is a table”
Please fix this…
suggestion: “the team requires a tool, solution, etc etc”
suggestion: “Which of the below options should be used?”
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Hello Moose,
Good day!
Thank you for posting here.
Yes, you are right. A confusion matrix is not a metric but rather a tool that provides several metrics for evaluating the performance of classification models.We appreciate your feedback. We already updated this item. It should reflect on the portal once our admin approves the changes made.
Thank you for your understanding.
Regards,
Neil @ Tutorials Dojo
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