Hi, I am attempting to show that the binary predictions made by my bidirectional LSTM neural network classifier are statistically significant, i.e. that the accuracy is more than that which may occur by chance using a 'random' classifier. I know that I can use McNemar's test to compare the accuracies achieved by 2 different models, but I am unsure as to which model to use as the 'random' or 'baseline' classifier.
Any suggestions would be greatly appreciated. Thanks in advance.