Model Evaluation and Optimization

Learning how to evaluate model performance using metrics such as accuracy, precision, recall, and AUC-ROC curve, as well as techniques for hyperparameter tuning and optimization, is vital for developing effective machine learning models.

Learning how to evaluate model performance using metrics such as accuracy, precision, recall, and AUC-ROC curve, as well as techniques for hyperparameter tuning and optimization, is vital for developing effective machine learning models.

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