However, for the purposes of this discussion (and without loss of generality) we will assume that the interactions between the instance scoring and thresholding in each model is such that both models predict that two thirds of the test set are positive examples.
∼60% of our data is labeled as positive by our model (shaded green), while 40% is labeled as negative (shaded red).