Accuracy overwrites accuracy training curve

[SamVanhoutte]

When performing classification with Keras and evaluating it through AzureML, there is a training curve that contains accuracy as metric, but we also overwrite the accuracy at the end with one value. therefore, the initial accuracy values for all but last epochs is zero, which is not desired.

solution:
change names of training curve metrics