The binary classification technique presented in this article uses a single output node with sigmoid() activation and BCELoss() during training. It is possible to view a binary classification problem ...

For most alternative binary classifier architectures, you would have to use a Dataset definition that more closely resembles one designed for multi-class classification than for binary classification.