This issue is fixed in T27677.

In T27677#210406, @eisenman wrote:

In section 3.2.1 "Visualizing bootstrap results", two visualization methods are mentioned, but only one is contained in the report: "To investigate which tasks separate algorithms well (i.e., lead to a stable ranking), two visualization methods
are recommended."

Do we add a second plot or adapt the text?

This is resolved, dart client is running on my workstation

Clang 10 on Linux configuration is running now nightly on my desktop machine. "WorkbenchRelease" is green, "All" unfortunately hits an internal clang error [1][2]. Setting this up on ubuntu would probably solve this, or some update on fedora.

Pushed new branch bugfix/T27744-ReviseModelFitDemo.

Pushed new branch bugfix/T27196-RewritePackaging.

What version of MITK do you use? I cannot reproduce any trouble with the cross hair while placing planar figures.

Hi there! 🙂

Hi there! 🙂

Deleted branch bugfix/T27624-FixDoxygenErrors.

In section 3.2.1 "Visualizing bootstrap results", two visualization methods are mentioned, but only one is contained in the report: "To investigate which tasks separate algorithms well (i.e., lead to a stable ranking), two visualization methods
are recommended."

Maybe a nice introduction project for a new student.

Deleted branch bugfix/T27030-MigrateToNSISv3.

Pushed new branch bugfix/T27030-MigrateToNSISv3.

This happens with NSIS 3.x. We use NSIS 2.x. However, CMake dropped NSIS 2.x support in version 3.17, so we should finally get rid of this error and also require NSIS 3.x.

This is not planned for the Kaapana release.

The plots can already be limited to the top x performing algorithms. This can be reused in that case. Then the question is how many legend items are we going to "guarantee" appearing nicely?

One strategy would be to add an optional argument in which the number of displayed teams can be specified. For challenges with 200 participants, even multiple columns might be confusing.

The 19 algorithms are shown correctly. The strategy for more algorithms is discussed in T27748.

The 19 algorithms are shown correctly.

It works with the vector. The generated jpeg and png files have a quite low resolution and are as such not really reusable (e.g. in a presentation slide). Can you increase the resolution?

The warning is raised because the label is defined when bootstrapping is used but also referenced when bootstrapping is not used.