Binary Clasification Accurary
Accuracy is commonly defined as total nbr of correct predictions / total nbr of predictions.
Imagine a binary classification of color in: White or not White.

Since it's binary, all the white Classifications - a True Positive classification are as important for accuracy as a - True Negative classification, after all, the classification is also correct, hence,
TP+TN/ total nbr of predictions.