10.1 Classification Accuracy(CA)

Classification Accuracy(CA) is the probability that the estimated classification is equal to the true classification. In other words, CA refers to how well the model can correctly classify individuals according to their attribute mastery profile.

• In CA, we want to explore whether the estimated attributes / attribute profile is close to the true attributes / attribute profiles.