# Keras model to focus on different metrics?

When using the model.compile() attribute, does it matter what metric I place in there? For example, would model.complie(metric='accuracy') focus on increasing accuracy vs model.compile(metrics=[tf.keras.metrics.Precision()]) focusing on Precision? Or do these just state what shows during the epoch training?

Here are the docs for the Model.compile method.
The loss parameter is the objective function whereas the metrics parameter is a "list of metrics to be evaluated by the model during training and testing".