## F-score of Log Skeleton (5% noise) on PDC 2020 data set This graph shows the F-score values over three different runs for different categories of models. This graph shows the average F-score values over three different runs for the situation without loops and with loops (simple or complex). For many logs without loops it holds that introducing simple loops lowers the F-score, and introducing complex loops … [Read more…]

## Classification of Log Skeleton (5% noise) on PDC 2020 data set 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 500 traces are TP in the first run, 490 in the second, and 495 in the third, then the value 490 is used as aggregated … [Read more…]

## Accuracy of Log Skeleton (5% noise) on PDC 2020 data set This graph shows the average accuracy values over three different runs for different categories of models. This graph shows the average accuracy values over three different runs for the situation without loops and with loops (simple or complex). For many logs without loops it holds that introducing simple loops lowers the accuracy, and introducing complex … [Read more…]

## Classification of Log Skeleton (5% noise) on PDC 2019 data set 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 500 traces are TP in the first run, 490 in the second, and 495 in the third, then the value 490 is used as aggregated … [Read more…]

## Accuracy of Log Skeleton (5% noise) on PDC 2019 data set This graph shows the average accuracy values over three different runs for different models. This graph shows the average accuracy values over three different runs for different categories of models.

## Classification of Log Skeleton (5% noise) on PDC 2017 data set 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 … [Read more…]

## Classification of Log Skeleton (5% noise) on PDC 2016 data set 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 … [Read more…]

## Classification of Log Skeleton (5% noise) on aXfYnZ data set 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 500 traces are TP in the first run, 490 in the second, and 495 in the third, then the value 490 is used as aggregated … [Read more…]