Basically, a false positive is a data instance where the model we've created predicts it should be positive, but instead, the actual value is negative.

As an example of the difficulties inherent in prediction machinery, we can examine the Limits to Growth model in detail.

The approaches, by means of analyse or simulation, calculate metrics (e.g. response time) from Palladio models (instance of the PCM).