Question

What is the main purpose of evaluation in an AI project cycle?

• A. To collect data for training the model
• B. To assess how well a model performs after training
• C. To deploy the model into real-world systems
• D. To visualize the data used for model building

Hint:

Evaluation metrics like accuracy, precision, recall, and F1-score help measure model performance.

Answer 1

The Correct Option is B

Step 1: Understanding evaluation.
Evaluation in AI refers to checking the performance of a trained model using test data and performance metrics.

Step 2: Analyzing options.
• (A): Data collection is part of data preparation.
• (B): Correct. Evaluation measures model performance after training.
• (C): Deployment is a later stage.
• (D): Visualization is part of data analysis.
Step 3: Conclusion.
Thus, evaluation is used to assess model performance after training.
Final Answer: To assess how well a model performs after training.