Identify key metrics for assessing model performance.Evaluate classification models using precision and recall.Analyze confusion matrices to interpret model results.Apply hyperparameter tuning for improved model accuracy.Compare different machine learning models effectively.Utilize metrics to enhance model evaluation strategies.
