Consider a supervised training of a machine learning model where 80% of the training samples are of class C1 and the remaining are of class C2. The training accuracy of this classifier is computed as the ratio of “number of correct prediction” to “total number of predictions made”.
In which of these circumstances could the accuracy of the model be trusted the most?
