Answer-first summary for fast verification
Answer: Evaluate the model using accuracy, precision, recall, and F1-score, and analyze the confusion matrix.
Using multiple metrics such as accuracy, precision, recall, and F1-score, along with analyzing the confusion matrix, provides a comprehensive evaluation of the model's performance. This helps in making informed decisions about whether the model is ready for deployment.
Author: LeetQuiz Editorial Team
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After training a language understanding model, you need to evaluate its performance. Describe the steps you would take to evaluate the model, including what metrics you would use and how you would interpret the results to determine if the model is ready for deployment.
A
Evaluate the model using only accuracy and deploy if it is above 90%.
B
Evaluate the model using accuracy, precision, recall, and F1-score, and analyze the confusion matrix.
C
Evaluate the model without using any metrics.
D
Evaluate the model using only user feedback.
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