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Error Rate

It represents the ratio of misclassified samples to the total number of samples. It is the complement of the accuracy and it is defined as:

error_rate = (fp + fn)/(tp + tn + fp + fn)


from odin.classes import Metrics

my_metric = Metrics.ERROR_RATE
# use my_metric as 'metric' parameter in the analyses

Tasks supported

Binary Classification Single-label Classification Multi-label Classification Object Detection Instance Segmentation
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