I've the probability scores of positive class of two models. The frequency distribution of those probability scores(thresholds) are like this
It's a binary classification problem. And the thresholds obtained are from the test data. The stats in the confusion matrix are nearly same for two models. Can we say the Model #2 is doing well in separating classes? What other conclusion we can draw from the frequency of the thresholds.