Mark, the Predictive Analytics Developer at MDFT Pro, is building a machine learning model to predict student course completion rates based on engagement metrics, assessment scores, and learning activity patterns. MDFT Pro, a well-known training agency, has collected extensive historical data about students including their learning behaviors and actual completion outcomes. Mark needs to train a regression model that can predict the percentage likelihood of course completion for new students, but he’s unsure about the data requirements for training this type of predictive model and whether labeled examples showing actual completion rates are necessary.
Can regression models be trained using only unlabeled data without known target values?
Choose the correct answer from the options below.
Explanations for each answer: