AI Model Evaluation And Metrics
Published On: 20 Mar 2025
Reading Time: 8 minutes
Overview
- Why Evaluate AI Models?
- Types of Evaluation Metrics
- Classification Metrics
- Accuracy
- Precision
- Recall
- F1-Score
- AUC-ROC
- Regression Metrics
- Mean Squared Error (MSE)
- Root Mean Squared Error (RMSE)
- Mean Absolute Error (MAE)
- R-squared
- Ranking Metrics
- Mean Average Precision (MAP)
- Normalized Discounted Cumulative Gain (NDCG)
- Precision@K
- Choosing the Right Metrics
- Conclusion
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