ML ZOOMCAMP 2025 - Module 4

 Module 4: Evaluation Metrics for Classification


This module was about how to properly evaluate classification models and handle imbalanced datasets. 

The following were covered

  • Accuracy, precision, recall, F1-score
  • ROC curves and AUC
  • Cross-validation
  • Confusion matrices
  • Class imbalance handling

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