How to Evaluate Model Performance with the score() Method in scikit-learn?

I am building a machine learning model, and I want to evaluate its performance. What are the key factors I should consider? Are there any metrics I should look at? How can I interpret the results using the score() method in Scikit-Learn? Can you provide an example of how to use the score() method to evaluate model performance in Python?

I would appreciate any feedback or suggestions on how to improve the accuracy of the model. Thank you in advance!