This task performs cross-validation on the selected models from the mining structure '{0}.' The task generates a report which ...

This task performs cross-validation on the selected models from the mining structure '{0}.'  
The task generates a report which describes how well the models predict the attribute {1}.  For certain models and attributes you can also choose a specific state to be tested for this attribute. In addition, you can choose a threshold probability value at which the model should consider a prediction to be correct.  
With these settings, the task will partition your data into {2} folds, determined by the Fold Count parameter. When validating the model the task will consider up to {3} rows, determined by the Maximum Rows parameter. If set to 0, then all cases are considered, which may take a long time to process.