These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 10 traces are TP in the first run, 8 in the second, and 9 in the third, then the value 8 is used as aggregated value. As a result, these graphs can show discrepancies between the classifications in different runs.
There are discrepancies for pdc_2017_3.xes and odc_2019_10.xes, as their bars do not reach 90. For these log, the Hybrid Inductive Miner (OR) discovered different nets from this log over the three runs.