Inconsistency in training Iris dataset I am a noob in the field of ML. I have been trying to classify the iris dataset. I managed to do it with backpropagation, and with 3 neurons in the hidden layer. But the mean square error that I get when I rerun the entire code is not consistent. It varies between 0 - 8%. Is this expected, or am I doing something wrong here?
I am not an expert on Neural Networks, but if you are using Random Initialization then your MSE would vary slightly from each rerun.