How do i conduct t-test for comparing the accuracy of two binary classifiers?

I am using two binary classifiers that predicts the accuracy of samples over a dataset. Accuracy is defined as ratio of correct vs incorrect predictions. Do i need to take accuracies sampled over multiple experiments and use them as data for t-test. Can some explain please ? Also what will the result of the t-test convey?. Thanks in advance.