Example output
I want you to design a detailed evaluation framework for assessing the performance of a machine learning model aimed at solving "detecting spam emails" for "corporate email systems." The framework should include the selection of appropriate evaluation metrics, methods for cross-validation, techniques for error analysis, and strategies for identifying and mitigating model biases. Additionally, recommend tools and approaches for monitoring model performance post-deployment.
I want you to design a detailed evaluation framework for assessing the performance of a machine learning model aimed at solving "inventory demand forecasting" for "retail supply chains." The framework should include the selection of appropriate evaluation metrics, methods for cross-validation, techniques for error analysis, and strategies for identifying and mitigating model biases. Additionally, recommend tools and approaches for monitoring model performance post-deployment.