Normally when evaluating a model, the training data is split into a test set and a training set.
I want to evaluate the best possible performance of the classifier on my task.
So I have Trained it on all my data, and tested it on all my data. The results are not all 100% for all variation on the model I am investigating, which is worth reporting on.