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? Metrics Metric Value Accuracy (#correct) 169 Accuracy (correct) 92.2 Specificity 0.88222 Sensitivity (Recall) 0.6 Precision 0.82494 F1 Score 0.88201 Success Class 1 Success Probability 0.5 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 Ok-Nearest Neighbors Nave Bayes determination