gpleiss / efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

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test error interpretation

abduallahmohamed opened this issue · comments

Hi,
It might be naiive question but it causing me a confusion. If the test error is 0.0546 does this means the error rate is ( 0.0546 *100) = 5.46 and the accuracy is 94.54% ?

Yup that is correct :)