The ROC curve is plotted with the TPR on the y-axis and the FPR on the x-axis. A model with perfect prediction capabilities would have a point in the upper left corner of the plot (0,1), indicating a TPR of 1 and an FPR of 0. Generally, the closer the curve follows the left-hand border and then the top border of the ROC space, the more accurate the model is. A diagonal line from (0,0) to (1,1) represents a model that makes random predictions.