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Important: Submission policy

Parameter tuning is only allowed on the training data. Evaluating on the test data via this evaluation server must only be done once for the final system. It is not permitted to use it to train systems, for example by trying out different parameter values and choosing the best. Only one version must be evaluated (which performed best on the training data). This is to avoid overfitting on the test data. Results of different parameter settings of an algorithm can therefore only be reported on the training set. To help enforcing this policy, we block updates to the test set results of a method for two weeks after a test set submission. You can split up the training data into training and validation sets yourself as you wish.

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