Selecting the Right Evaluation Metrics for ML Models

Stop defaulting to accuracy. This post explains how to pick model evaluation metrics—precision, recall, F1, AUC, MAE/RMSE, MCC—so your evaluation matches class imbalance and real-world costs.

Stop defaulting to accuracy. This post explains how to pick model evaluation metrics—precision, recall, F1, AUC, MAE/RMSE, MCC—so your evaluation matches class imbalance and real-world costs.