The chart below is a summary of the main results of a test data set representing the population observed purchasing a virtual digital assistant. What does the accuracy rate indicate? 92.2% of the observations are correctly classified. 7.8% of the observations are correctly classified. 92.2% of the population has incorrect inputs. 92.2% of the population has purchased a virtual assistant. 60% of the observations are correctly classified. The use of classifying or predicting the value to create an outcome is called optimization scoring a record k-Nearest Neighbors Naive Bayes determination