Evaluation

Library of evaluation functions in the AUCMEDI environment.

The idea of the evaluation function library is to provide quick and simple functionality for inspecting and analyzing data as well as results generated by AUCMEDI.

AUCMEDI currently supports the following evaluation techniques:

Evaluation Technique	Description
Dataset Analysis	Peak into the loaded medical imaging dataset.
Fitting Evaluation	Evaluate the fitting curve of a model training process.
Performance Evaluation	Evaluate the performance of a single model / prediction list through various metrics.
Performance Comparison	Compare the performance of predictions from multiple models.