Question:

What is the primary need for evaluating an AI model’s performance in the AI Model Development process?

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Evaluating an AI model helps determine its effectiveness in real-world applications and guides decisions for improvement.
Updated On: Dec 19, 2024
  • To increase the complexity of the model.
  • To visualize the data.
  • To assess how well the chosen model will work in future.
  • To reduce the amount of data used for training.
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The Correct Option is C

Solution and Explanation

Evaluating an AI model’s performance is crucial to determine how well it will perform in real-world scenarios. The evaluation helps assess the model’s accuracy, generalization, and robustness, ensuring it will work effectively on new, unseen data. This evaluation process involves measuring performance metrics such as accuracy, precision, recall, and F1-score, helping decide if the model is ready for deployment or needs further refinement.

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