Almost always after developing an ML model, we find ourselves in a position where we need to explain this model. Even when the model is very good, it is still a black box that needs to be deciphered.
runfile ('V:\Trainingswissenschaft\Horst\Gait - XAI - Clinical\explaining-deep-gait-classification-master\python\gait_experiments.py', args='-d ./data ...
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