Assessing Model Accuracy Classification Setting

In the classification setting, we measure accuracy of the model by seeing how well it is predicting the class or group each observation belongs to. If it classifies many of the observations into wrong classes, then the model has low accuracy. If it classified many of the observations into the right classes, then we have an accurate model.