Exploratory analysis of benchmark experiments an interactive approach

Visualization can help a lot to understand the huge amounts of data created in computer simulations and benchmark experiments. In Eugster et al. (Technical report 30, Institut für Statistik, Ludwig-Maximilians-Universit?t München, Germany 2008) we presented a comprehensive toolbox for exploration and inference on benchmark data, including the bench plot. This plot visualizes the behavior of the algorithms on the individual drawn learning and test samples according to a specific performance measure. In this paper we show that an interactive version of the bench plot can help to uncover details and relations unseen with the static version.