In supervised machine learning, which steps are taken to determine how well a machine learning model will predict labels in the future?

$-$Determine the correct labels for each observation in a data set

$-$Do not determine the correct labels for any observation in a data set

$-$Train the machine learning algorithm on part of the data that is unlabeled

$-$Train the machine learning algorithm on part of the data that is unlabeled

$-$Train the machine learning algorithm on part of the data that is labeled

$-$Test the machine learning algorithm on previously seen data that is unlabeled

$-$Test the machine learning algorithm on previously seen data that is labeled

$-$Test the machine learning algorithm on previously unseen data that is unlabeled

$-$Test the machine learning algorithm on previously unseen data that is labeled

$-$Measure how well the machine learning algorithm predicts labels on unseen data

$-$Measure how well the machine learning algorithm predicts labels on seen data