Revision history [back]

Actually, in both cases the false negative and the true positive result are quite different, especially for computer based systems

• In the first case, you have a backwards view as true positive but a side view for the false positive.
• In the second case, you have an open leg situation versus a closed leg situation.

So my first guess might be that your training database is not sufficiently large and variate enough for cooping with all these situations, let alone assume that you can model different views in a single model.