1. A computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device, the computer implemented method including: (a) using a computer processing unit to generate a probabilistic model from a training library, the model for use in identifying instances of the target feature in the geophysical data sets, the training library including one or more target examples, each target example including a signature being indicative of the target feature, and one or more non-target examples, each non-target example including a signature being indicative of a non-target feature; (b) applying, using the computer processing unit, the probabilistic model to one or more of the geophysical data sets to generate a plurality of results, each result associated with a processed geophysical data set and indicating a level of certainty as to whether that geophysical data set includes the target feature; (c) processing, using the computer processing unit, the plurality of results according to an acceptability criteria in order to identify a plurality of candidate results, the candidate results being results associated with data sets having potential significance to the performance of the probabilistic model; (d) receiving a selection of one or more of the candidate results and for each selected candidate result displaying on a display the result and its associated geophysical data set to assist a user in making an assessment as to whether or not the probabilistic model is an acceptable model for the processing of the geophysical data sets; (e) receiving from a user an assessment as to whether or not the probabilistic model is an acceptable model; and (f) if the assessment received indicates the probabilistic model is an acceptable model for processing the geophysical data, outputting the probabilistic model and/or the training library; and wherein if the assessment received at step (e) indicates the probabilistic model is not an acceptable model for the processing of the geophysical data, the method further includes: (g) receiving a selection of at least one example to be added to the training library, each example including a signature of either a target or non-target feature and being included in a data set associated with a candidate result, and modifying the training library by adding the at least one example; and/or presenting the training library examples to the user, receiving a selection of one or more examples for removal from the training library, and modifying the training library by removing the example or examples selected for removal; and (h) repeating steps (a) to (f) in respect of the modified training library.