# How to correctly read a classification report?

Firstly, is there a difference between model performance and it's accuracy? If yes, what exactly?

Secondly, what can I interpret from this classification_report of my model. Eg: The model's ability to predict 1 is 87% or 51%. Also, will accuracy be a good metric to evaluate as there's a major class imbalance but this class imbalance is of test data and not training, so I'm confused here as well?

I'm confused, is the model good a predicting 1 or 0