Accuracy
The proportion of correct predictions made by a classification algorithm out of total predictions. For multiclass classification, accuracy is the number of right predictions divided by the total instances. For binary classification, it is the sum of true positives and true negatives divided by the total number of examples. Accuracy measures how often a model is correct in its predictions.
