Overview
Model evaluation is a crucial step in the artificial intelligence process. It helps us understand how well our AI models perform and whether they can make accurate predictions. By using various metrics and techniques, we can assess the strengths and weaknesses of our models. This ensures that we build reliable systems that can solve real-world problems effectively.
📚 Key Learning Objectives
- ✓ Define key concepts in model evaluation.
- ✓ Identify different evaluation metrics used in AI.
- ✓ Apply techniques to evaluate model performance.
- ✓ Interpret evaluation results to improve models.
- ✓ Compare models based on their evaluation metrics.
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