This graph shows the F-score values over three different runs for different categories of models.
This graph shows the F-score values over three different runs for the situation without noise and with noise. For example, it shows that if there is no noise accuracy may be 100% and is at least 80%, but adding noise results in a drop of the accuracy to below 75%.