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Model Evaluation

I am taking a machine learning course and have reached the topic of model evaluation. I understand that we need to check how well a model works, but the different scores confuse me. While looking for simple explanations, I found Machine learning coursework help. Should I learn each score through a small example? How do I know which measure is useful for a certain problem? I would like to understand the idea instead of memorizing formulas. What study method helped you make model evaluation easier to understand?