More experimenting. Three days to complete the experiments and then a couple of weeks to write up. Well that's the plan anyway.
First up complete neural network experiments. Not happy with the ones I've carried out before they are to ad hoc. I will organise them better this time.
So first create an MLP and work out the optimum number of training cycles. Do each experiment at least twice because NNs do not always cluster data the same way each time they are trained.
Score with score tool and calculate sensitvity, specificity and PPV.
Then experiment using different numbers of hidden layer neurons to find optimum.
Then, well I'll see how it's going.
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